Implementasi Jaringan Syaraf Tiruan Backpropagation Menggunakan Python Gui
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Implementasi Jaringan Syaraf Tiruan Backpropagation Menggunakan Python Gui
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Author : Hamzan Wadi
language : id
Publisher: TURIDA PUBLISHER
Release Date :
Implementasi Jaringan Syaraf Tiruan Backpropagation Menggunakan Python Gui written by Hamzan Wadi and has been published by TURIDA PUBLISHER this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Buku ini merupakan kasus ketiga dari seri implementasi jaringan syaraf tiruan Backpropagation menggunakan PYTHON GUI. Buku ini menyajikan penjelasan praktis tentang jaringan syaraf tiruan Backpropagation dan bagaimana implementasinya untuk memprediksi data time series, dimana dalam buku ini kasus yang digunakan adalah data kurs jual rupiah terhadap USD. Pembahasan dalam buku ini disajikan secara bertahap dan langkah demi langkah sehingga akan membantu pembaca memahami setiap konsep dan tahapan dari algoritma jaringan syaraf tiruan Backpropagation. Buku ini sangat cocok untuk pelajar, mahasiswa, dan peneliti yang ingin mengimplementasikan jaringan syaraf tiruan Backpropagation dengan menggunakan PYTHON GUI. Pembahasan dalam buku ini akan memberikan pemahaman pada pembaca tentang arsitektur JST Backpropagation dan parameter-parameter yang terdapat didalamnya. Pembaca akan dibantu memahami setiap langkah untuk melakukan prediksi melalui contoh kasus dan perhitungan matematisnya. Selain itu, pembaca juga dibimbing secara bertahap dan langkah demi langkah untuk mengimplementasikan jaringan syaraf tiruan Backpropagation menggunakan PYTHON GUI. Pembaca akan dibimbing untuk merealisasikan setiap tahapan dalam algoritma jaringan syaraf tiruan Backpropagation ke dalam kelas dan fungsi-fungsi yang diciptakan sendiri. Hasil akhir dari buku ini adalah pembaca mampu merealisasikan sendiri setiap tahapan dalam algoritma jaringan syaraf tiruan Backpropagation untuk memprediksi kurs jual rupiah terhadap USD menggunakan PYTHON menjadi aplikasi yang berbasis Command Windows dan aplikasi yang berbasis GUI.
Prediksi Harga Emas Dengan Jaringan Syaraf Tiruan Backpropagation Menggunakan Matlab Gui
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Author : Hamzan Wadi
language : id
Publisher: Turida Publisher
Release Date : 2023-05-12
Prediksi Harga Emas Dengan Jaringan Syaraf Tiruan Backpropagation Menggunakan Matlab Gui written by Hamzan Wadi and has been published by Turida Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-12 with Computers categories.
Buku ini merupakan versi MATLAB dari buku yang berjudul “Prediksi Harga Emas Dengan Jaringan Syaraf Tiruan Backpropagation Menggunakan PYTHON GUI”. Buku ini merupakan kasus keempat dari seri implementasi jaringan syaraf tiruan Backpropagation menggunakan MATLAB GUI. Buku ini menyajikan penjelasan praktis tentang jaringan syaraf tiruan Backpropagation dan bagaimana implementasinya untuk memprediksi harga emas. Pembahasan dalam buku ini disajikan secara bertahap dan langkah demi langkah sehingga akan membantu pembaca memahami setiap konsep dan tahapan dari algoritma jaringan syaraf tiruan Backpropagation. Buku ini sangat cocok untuk pelajar, mahasiswa, dan peneliti yang ingin mengimplementasikan jaringan syaraf tiruan Backpropagation dengan menggunakan MATLAB GUI. Pembahasan dalam buku ini akan memberikan pemahaman pada pembaca tentang arsitektur jaringan syaraf tiruan Backpropagation dan parameter-parameter yang terdapat didalamnya. Pembaca akan dibantu memahami setiap langkah untuk melakukan prediksi melalui contoh kasus dan perhitungan matematisnya. Selain itu, pembaca juga dibimbing secara bertahap dan langkah demi langkah untuk mengimplementasikan jaringan syaraf tiruan Backpropagation menggunakan MATLAB GUI. Pembaca akan dibimbing untuk merealisasikan setiap tahapan dalam algoritma jaringan syaraf tiruan Backpropagation ke dalam kelas dan fungsi-fungsi yang diciptakan sendiri. Hasil akhir dari buku ini adalah pembaca mampu merealisasikan sendiri setiap tahapan dalam algoritma jaringan syaraf tiruan Backpropagation untuk memprediksi harga emas menggunakan MATLAB menjadi aplikasi yang berbasis Command Windows dan aplikasi yang berbasis GUI.
Jaringan Syaraf Tiruan Backpropagation Menggunakan Python Gui Langkah Demi Langkah Memahami Dan Mengimplementasikan Jaringan Syaraf Tiruan Backpropagation Untuk Prediksi Data Penjualan Air Minum Dalam Kemasan
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Author : Hamzan Wadi
language : id
Publisher: TR Publisher
Release Date :
Jaringan Syaraf Tiruan Backpropagation Menggunakan Python Gui Langkah Demi Langkah Memahami Dan Mengimplementasikan Jaringan Syaraf Tiruan Backpropagation Untuk Prediksi Data Penjualan Air Minum Dalam Kemasan written by Hamzan Wadi and has been published by TR Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Buku ini menyajikan penjelasan praktis tentang Jaringan Syaraf Tiruan Backpropagation dan bagaimana implementasinya untuk memprediksi data penjualan air minum dalam kemasan. Pembahasan dalam buku ini disajikan secara bertahap dan langkah demi langkah sehingga akan membantu pembaca memahami setiap konsep dan tahapan dari JST Backpropagation. Buku ini sangat cocok untuk pelajar, mahasiswa, dan peneliti yang ingin mengimplementasikan JST Backpropagation dengan menggunakan Python GUI. Pembahasan dalam buku ini akan memberikan pemahaman pada pembaca tentang arsitektur JST Backpropagation dan parameter-parameter yang terdapat didalamnya. Pembaca akan dibantu memahami setiap langkah untuk melakukan prediksi melalui contoh kasus dan perhitungan manualnya. Selain itu, pembaca juga dibimbing secara bertahap dan langkah demi langkah untuk mengimplementasikan JST Backpropagation menggunakan Python GUI. Pembaca akan dibimbing untuk merealisasikan setiap tahapan JST Backpropagation sebuah kelas dan fungsi-fungsi Python yang dibuat sendiri. Hasil akhir dari buku ini adalah pembaca mampu merealisasikan sendiri setiap tahapan JST Backpropagation untuk memprediksi data penjualan air minum dalam kemasan menggunakan Python yang berbasis Command Windows dan Python yang berbasis GUI.
Prediksi Harga Emas Dengan Jaringan Syaraf Tiruan Backpropagation Menggunakan Python Gui
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Author : Hamzan Wadi
language : id
Publisher: Turida Publisher
Release Date :
Prediksi Harga Emas Dengan Jaringan Syaraf Tiruan Backpropagation Menggunakan Python Gui written by Hamzan Wadi and has been published by Turida Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Buku ini merupakan kasus keempat dari seri implementasi jaringan syaraf tiruan Backpropagation menggunakan PYTHON GUI. Buku ini menyajikan penjelasan praktis tentang jaringan syaraf tiruan Backpropagation dan bagaimana implementasinya untuk memprediksi harga emas. Pembahasan dalam buku ini disajikan secara bertahap dan langkah demi langkah sehingga akan membantu pembaca memahami setiap konsep dan tahapan dari algoritma jaringan syaraf tiruan Backpropagation. Buku ini sangat cocok untuk pelajar, mahasiswa, dan peneliti yang ingin mengimplementasikan jaringan syaraf tiruan Backpropagation dengan menggunakan PYTHON GUI. Pembahasan dalam buku ini akan memberikan pemahaman pada pembaca tentang arsitektur jaringan syaraf tiruan Backpropagation dan parameter-parameter yang terdapat didalamnya. Pembaca akan dibantu memahami setiap langkah untuk melakukan prediksi melalui contoh kasus dan perhitungan matematisnya. Selain itu, pembaca juga dibimbing secara bertahap dan langkah demi langkah untuk mengimplementasikan jaringan syaraf tiruan Backpropagation menggunakan PYTHON GUI. Pembaca akan dibimbing untuk merealisasikan setiap tahapan dalam algoritma jaringan syaraf tiruan Backpropagation ke dalam kelas dan fungsi-fungsi yang diciptakan sendiri. Hasil akhir dari buku ini adalah pembaca mampu merealisasikan sendiri setiap tahapan dalam algoritma jaringan syaraf tiruan Backpropagation untuk memprediksi harga emas menggunakan PYTHON menjadi aplikasi yang berbasis Command Windows dan aplikasi yang berbasis GUI.
Step By Step Database Programming Using Python Gui Mysql
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Author : Hamzan Wadi
language : en
Publisher: TURIDA Publisher
Release Date :
Step By Step Database Programming Using Python Gui Mysql written by Hamzan Wadi and has been published by TURIDA Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book provides a practical explanation of database programming using Python GUI & MySQL. The discussion in this book is presented in step by step so that it will help readers understand each material and also will make it easier for the readers to follow all of the instructions. This book is very suitable for students, programmers, and anyone who want to learn database programming using Python GUI & MySQL from scratch. This book is divided into two parts: The first part of this book will discuss about the fundamentals of database programming using Python GUI & MySQL. This part will discuss in detail about how to setup your working environment and how to understand GUI programming using Python. This part will also discuss in detail about how to start your database programming using Python GUI & MySQL. This part will discuss in detail about the basic of database programming using Python GUI & MySQL. The second part of this book will discuss about how to build database application using Python GUI & MySQL. This part will discuss in detail about how to build Multiple Document Interface (MDI) database application through real project-based example. This part will discuss in detail about how to design and create database for Library Management System application, and how to create all forms for the application. The final objective of this book is that the readers are able to create real database application using Python GUI & MySQL. Here are the materials that you will learn in this book. PART I: THE FUNDAMENTAL OF DATABASE PROGRAMMING USING PYTHON GUI & MySQL CHAPTER 1: The discussion in this chapter will guide you in preparing what software are needed to start your database programming using Python GUI. This chapter will guide you to install all software including Python, MySQL, and Qt Designer. In addition, this chapter also will discuss about how to understand and use Qt Designer for user interface design, and how to create a GUI application using Python and Qt Designer. CHAPTER 2: The discussion in this chapter will guide you to start your database programming using Python GUI & MySQL. This chapter will discuss in detail about the basic of database programming using Python GUI & MySQL. The discussion in this chapter will talk about how to create and drop database, how to create and drop table, how to insert data into table, how to display data from table, how to update data in table, and how to delete data in table. All discussions in this chapter will give you deep understanding of database programming using Python GUI & MySQL. PART II: BUILDING DATABASE APPLICATION USING PYTHON GUI & MySQL, CASE STUDY: LIBRARY MANAGEMENT SYSTEM APPLICATION CHAPTER 3: The discussion in this chapter will guide you to design and create database for library management system application. This is the first step that must be taken to create database application using Python GUI & MySQL. This chapter will discuss in detail about how to design the Entity Relationship Diagram (ERD) for library management system application. The discussion in this chapter will also talk about how to create database and its tables based on the ERD design using MySQL server. CHAPTER 4: The discussion in this chapter will guide you to create main form and login form for the application. This chapter will discuss in detail about how to create these two forms. These forms are the first two forms that we will create in building library management system application. This chapter will also discuss about how to run the application. CHAPTER 5: The discussion in this chapter will guide you to create user accounts form and members form for Library Management System application. This chapter will discuss in detail about how to create these two forms. This chapter will also discuss about how to add these two forms as MDI sub windows of the main form. And the final discussion of this chapter will guide you to use the forms to manage user accounts and members data of Library Management System application. CHAPTER 6: The discussion in this chapter will guide you to create authors form, genres form, and books form for Library Management System application. This chapter will discuss in detail about how to create these three forms. This chapter will also discuss about how to add books form as MDI sub window of the main form. And the final discussion of this chapter will guide you to use the forms to manage authors, genres, and books data in Library Management System application. CHAPTER 7: The discussion in this chapter will guide you to create member search form, book search form, and loan transaction form for Library Management System application. This chapter will discuss in detail about how to create these three forms. This chapter will also discuss about how to add loan transaction form as MDI sub window of the main form. And the final discussion of this chapter will guide you to use the forms to manage loan transactions in Library Management System application. CHAPTER 8: The discussion in this chapter will guide you to create members statistic form, books statistic form, and loan statistic form for Library Management System application. This chapter will discuss in detail about how to create these three forms. This chapter will also discuss about how to add all of the forms as MDI sub windows of the main form. And the final discussion of this chapter will guide you to use all of the forms to display the statistics in the library.
Step By Step Neural Networks For Image Classification Using Python Gui
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Author : Hamzan Wadi
language : en
Publisher: Turida Publisher
Release Date :
Step By Step Neural Networks For Image Classification Using Python Gui written by Hamzan Wadi and has been published by Turida Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book provides a practical explanation of the backpropagation neural networks algorithm and how it can be implemented for image classification. The discussion in this book is presented in step by step so that it will help readers understand the fundamental of the backpropagation neural networks and its steps. This book is very suitable for students, researchers, and anyone who want to learn and implement the backpropagation neural networks for image classification using PYTHON GUI. The discussion in this book will provide readers deep understanding about the backpropagation neural networks architecture and its parameters. The readers will be guided to understand the steps of the backpropagation neural networks for image classification through case example. The readers will be guided to create their own neural networks class and build their complete applications for data image classification. The final objective of this book is that the readers are able to realize each step of the multilayer perceptron neural networks for image classification. In Addition, the readers also are able to create the neural networks applications which consists of two types of applications which are command window based application and GUI based application. Here are the material that you will learn in this book. CHAPTER 1: This chapter will guide you in preparing what software are needed to realize the backpropagation neural networks using Python GUI. The discussion in this chapter will start from installing Python and the libraries that will be used, installing Qt Designer, understanding and using Qt Designer to design the application UI, and the last is about how to create a GUI program using Python and Qt Designer. CHAPTER 2: This chapter discusses the important parts in the backpropagation neural networks algorithm which includes the architecture of the backpropagation neural networks, the parameters contained in the backpropagation neural networks, the steps of the backpropagation neural networks algorithm, and the mathematical calculations of the backpropagation neural networks. CHAPTER 3: This chapter discusses in detail the mathematical calculations of fruit quality classification using the backpropagation neural networks which includes the feature extraction process of fruit images, data normalization, the training process, and the classification process. The feature extraction method used in this case is GLCM (Gray Level Co-occurrence Matrix). The image features that will be used in this case are energy, contrast, entropy, and homogeneity. CHAPTER 4: This chapter discusses how to implement the backpropagation neural networks algorithm for fruit quality classification using Python. This chapter will present the steps to create your backpropagation neural networks class and to define the functions that represent each process of the backpropagation neural networks. This chapter will also present the steps to create a class for image processing. And in final discussion you will be guided to create your backpropagation neural networks application from scratch to classify the quality of fruit. CHAPTER 5: This chapter will discuss how to create a GUI based application for fruit quality classification using the backpropagation neural networks algorithm. This chapter will discuss in detail the steps for designing the application UI by using Qt Designer, the steps for creating a class for the backpropagation neural networks GUI based application, and how to run the GUI based application to classify the fruit data.
Principles Of Artificial Neural Networks
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Author : Daniel Graupe
language : en
Publisher: World Scientific
Release Date : 1997-05-01
Principles Of Artificial Neural Networks written by Daniel Graupe and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-05-01 with Mathematics categories.
This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields, with background in at least one programming language or in a programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing.
Deep Learning With Applications Using Python
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Author : Navin Kumar Manaswi
language : en
Publisher: Apress
Release Date : 2018-04-04
Deep Learning With Applications Using Python written by Navin Kumar Manaswi and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-04 with Computers categories.
Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning. This book covers convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn. What You Will Learn Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn. Use face recognition and face detection capabilities Create speech-to-text and text-to-speech functionality Engage with chatbots using deep learning Who This Book Is For Data scientists and developers who want to adapt and build deep learning applications.
Modeling And Simulation In Scilab Scicos With Scicoslab 4 4
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Author : Stephen L. Campbell
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-12-21
Modeling And Simulation In Scilab Scicos With Scicoslab 4 4 written by Stephen L. Campbell and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-21 with Mathematics categories.
Scilab and its Scicos block diagram graphical editor, with a special emphasis on modeling and simulation tools. The first part is a detailed Scilab tutorial, and the second is dedicated to modeling and simulation of dynamical systems in Scicos. The concepts are illustrated through numerous examples, and all code used in the book is available to the reader.
Optical Wdm Networks
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Author : Biswanath Mukherjee
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-06-15
Optical Wdm Networks written by Biswanath Mukherjee and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-15 with Computers categories.
Research and development on optical wavelength-division multiplexing (WDM) networks have matured considerably. While optics and electronics should be used appropriately for transmission and switching hardware, note that "intelligence'' in any network comes from "software,'' for network control, management, signaling, traffic engineering, network planning, etc.The role of software in creating powerful network architectures for optical WDM networks is emphasized. Optical WDM Networks is a textbook for graduate level courses. Its focus is on the networking aspects of optical networking, but it also includes coverage of physical layers in optical networks. The author introduces WDM and its enabling technologies and discusses WDM local, access, metro, and long-haul network architectures. Each chapter is self-contained, has problems at the end of each chapter, and the material is organized for self study as well as classroom use. The material is the most recent and timely in capturing the state-of-the-art in the fast-moving field of optical WDM networking.