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Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition


Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition
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Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition


Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition
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Author : Daniel Graupe
language : en
Publisher: World Scientific
Release Date : 2019-03-15

Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition 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 2019-03-15 with Computers categories.


The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.



Principles Of Artificial Neural Networks


Principles Of Artificial Neural Networks
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Author : Daniel Graupe
language : en
Publisher:
Release Date : 2019

Principles Of Artificial Neural Networks written by Daniel Graupe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with COMPUTERS categories.




Machine Learning Methods For Pain Investigation Using Physiological Signals


Machine Learning Methods For Pain Investigation Using Physiological Signals
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Author : Philip Johannes Gouverneur
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2024-06-14

Machine Learning Methods For Pain Investigation Using Physiological Signals written by Philip Johannes Gouverneur and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-14 with Mathematics categories.


Pain assessment has remained largely unchanged for decades and is currently based on self-reporting. Although there are different versions, these self-reports all have significant drawbacks. For example, they are based solely on the individual’s assessment and are therefore influenced by personal experience and highly subjective, leading to uncertainty in ratings and difficulty in comparability. Thus, medicine could benefit from an automated, continuous and objective measure of pain. One solution is to use automated pain recognition in the form of machine learning. The aim is to train learning algorithms on sensory data so that they can later provide a pain rating. This thesis summarises several approaches to improve the current state of pain recognition systems based on physiological sensor data. First, a novel pain database is introduced that evaluates the use of subjective and objective pain labels in addition to wearable sensor data for the given task. Furthermore, different feature engineering and feature learning approaches are compared using a fair framework to identify the best methods. Finally, different techniques to increase the interpretability of the models are presented. The results show that classical hand-crafted features can compete with and outperform deep neural networks. Furthermore, the underlying features are easily retrieved from electrodermal activity for automated pain recognition, where pain is often associated with an increase in skin conductance.



Nature Inspired Optimization Of Type 2 Fuzzy Neural Hybrid Models For Classification In Medical Diagnosis


Nature Inspired Optimization Of Type 2 Fuzzy Neural Hybrid Models For Classification In Medical Diagnosis
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Author : Patricia Melin
language : en
Publisher: Springer Nature
Release Date : 2021-08-06

Nature Inspired Optimization Of Type 2 Fuzzy Neural Hybrid Models For Classification In Medical Diagnosis written by Patricia Melin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-06 with Technology & Engineering categories.


This book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The proposed method provides a precise and timely diagnosis of the risk that a person has to develop a particular disease, but it can be adaptable to provide the diagnosis of different diseases. This book reflects the experimentation that was carried out, based on the different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and others). In particular, the optimizations were carried out to design the fuzzy classifiers of the nocturnal blood pressure profile and heart rate level. In addition, to obtain the architecture that provides the best result, the neurons and the number of neurons per layers of the artificial neural networks used in the model are optimized. Furthermore, different tests were carried out with the complete optimized model. Another work that is presented in this book is the dynamic parameter adaptation of the bird swarm algorithm using fuzzy inference systems, with the aim of improving its performance. For this, different experiments are carried out, where mathematical functions and a monolithic neural network are optimized to compare the results obtained with the original algorithm. The book will be of interest for graduate students of engineering and medicine, as well as researchers and professors aiming at proposing and developing new intelligent models for medical diagnosis. In addition, it also will be of interest for people working on metaheuristic algorithms and their applications on medicine.



Trends And Issues In Instructional Design And Technology


Trends And Issues In Instructional Design And Technology
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Author : Robert A. Reiser
language : en
Publisher: Taylor & Francis
Release Date : 2024-08-06

Trends And Issues In Instructional Design And Technology written by Robert A. Reiser and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-06 with Education categories.


Trends and Issues in Instructional Design and Technology provides current and future IDT professionals with a clear picture of current and future developments in the field that are likely to impact their careers and the organizations they work for. The fifth edition of this acclaimed, award-winning book has been designed to help instructional design and educational technology students, scholars, and practitioners to acquire the skills and knowledge essential to attaining their professional goals. In addition to the thorough and comprehensive updates made across the text, this revision adds 24 new chapters covering artificial intelligence, alternative ID models, social emotional learning, return on investment, micro-credentials and badging, designing for e-learning, hybrid learning, professional ethics, diversity and accessibility, and more. By exploring the field’s purpose and history, theories and models, emerging technologies and environments, and continual challenges and newfound concerns, this text provides an integral survey of the field’s contemporary landscape.



Robots And Gadgets


Robots And Gadgets
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Author : Collectif Collectif
language : en
Publisher: Presses de l'Université Laval
Release Date : 2024-07-24T00:00:00-04:00

Robots And Gadgets written by Collectif Collectif and has been published by Presses de l'Université Laval this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24T00:00:00-04:00 with Medical categories.


Why did we need to reflect on and write about smart-home technologies for the older person? What is a smart-home techology? In the face of smart-home promises to help the elderly person, and before these technologies are more widely used, we need to examine the ethical issues.



System And Circuit Design For Biologically Inspired Intelligent Learning


System And Circuit Design For Biologically Inspired Intelligent Learning
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Author : Temel, Turgay
language : en
Publisher: IGI Global
Release Date : 2010-10-31

System And Circuit Design For Biologically Inspired Intelligent Learning written by Temel, Turgay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-31 with Medical categories.


"The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.



The Routledge Companion To Artificial Intelligence In Architecture


The Routledge Companion To Artificial Intelligence In Architecture
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Author : Imdat As
language : en
Publisher: Routledge
Release Date : 2021-05-05

The Routledge Companion To Artificial Intelligence In Architecture written by Imdat As and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-05 with Architecture categories.


Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.



Digital Signal Processing


Digital Signal Processing
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Author : Li Tan
language : en
Publisher: Elsevier
Release Date : 2025-02-05

Digital Signal Processing written by Li Tan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.


Digital Signal Processing: Fundamentals, Applications, and Deep Learning, Fourth Edition introduces students to the fundamental principles of digital signal processing (DSP) while also providing a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this title is also useful as a reference for non-engineering students and practicing engineers.This book goes beyond DSP theory, showing the implementation of algorithms in hardware and software. Additional topics covered include DSP for artificial intelligence, adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as pulse-code modulation, μ-law, adaptive differential pulse-code modulation, multi-rate DSP, oversampling analog-to-digital conversion, sub-band coding, wavelet transform, and neural networks. - Covers DSP principles with various examples of real-world DSP applications on noise cancellation, communications, control applications, and artificial intelligence - Includes application examples using DSP techniques for deep learning neural networks to solve real-world problems - Provides a new chapter to cover principles of artificial neural networks and convolution neural networks with back-propagation algorithms - Provides hands-on practice, with MATLAB code for worked examples and C programs for real-time DSP for students at https://www.elsevier.com/books-and-journals/book-companion/9780443273353 - Offers teaching support, including an image bank, full solutions manual, and MATLAB projects for qualified instructors, available for request at https://educate.elsevier.com/9780443273353



Principles Of Spread Spectrum Communication Systems


Principles Of Spread Spectrum Communication Systems
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Author : Don Torrieri
language : en
Publisher: Springer Nature
Release Date : 2022-04-12

Principles Of Spread Spectrum Communication Systems written by Don Torrieri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-12 with Technology & Engineering categories.


This textbook, now in its 5th edition, provides updated state-of-the-art coverage of spread-spectrum communication systems with new applications throughout the book. In this edition, the author extends sections with more comprehensive details about many topics. Some of the more complex sections have been rewritten to make them easier to understand. New subsections, sections, figures, and problems have been added throughout the book. New or expanded topics include frequency-hopping systems with multisymbol CPFSK detection, derivations of spread-spectrum systems with differential data modulations, chaotic systems, channel-state information, and MIMO. As with previous edition, the author presents mathematical analyses of spread-spectrum systems that provide insights into their operations and limitations and are of theoretical and practical interest to both researchers and system designers. He includes updated problems at the end of each chapter, which are intended to assist readers in consolidating their knowledge and to give practice in analytical techniques. Eight appendices provide the mathematical tools that are useful in understanding the main text.