Applying Neural Networks

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Applying Neural Networks

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Author : Kevin Swingler
language : en
Publisher: Morgan Kaufmann
Release Date : 1996

Applying Neural Networks written by Kevin Swingler and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.

This book is designed to enable the reader to design and run a neural network-based project. It presents everything the reader will need to know to ensure the success of such a project. The book contains a free disk with C and C++ programs, which implement many of the techniques discussed in the book.

Neural Networks In Business

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Author : Kate A. Smith
language : en
Publisher: IGI Global
Release Date : 2003-01-01

Neural Networks In Business written by Kate A. Smith and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-01 with Computers categories.

"For professionals, students, and academics interested in applying neural networks to a variety of business applications, this reference book introduces the three most common neural network models and how they work. A wide range of business applications and a series of global case studies are presented to illustrate the neural network models provided. Each model or technique is discussed in detail and used to solve a business problem such as managing direct marketing, calculating foreign exchange rates, and improving cash flow forecasting."

Neural Networks For Identification Prediction And Control

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Author : Duc T. Pham
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Neural Networks For Identification Prediction And Control written by Duc T. Pham 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 2012-12-06 with Technology & Engineering categories.

In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control. Neural networks are computing systems characterised by the ability to learn from examples rather than having to be programmed in a conventional sense. Their use enables the behaviour of complex systems to be modelled and predicted and accurate control to be achieved through training, without a priori information about the systems' structures or parameters. This book describes examples of applications of neural networks In modelling, prediction and control. The topics covered include identification of general linear and non-linear processes, forecasting of river levels, stock market prices and currency exchange rates, and control of a time-delayed plant and a two-joint robot. These applications employ the major types of neural networks and learning algorithms. The neural network types considered in detail are the muhilayer perceptron (MLP), the Elman and Jordan networks and the Group-Method-of-Data-Handling (GMDH) network. In addition, cerebellar-model-articulation-controller (CMAC) networks and neuromorphic fuzzy logic systems are also presented. The main learning algorithm adopted in the applications is the standard backpropagation (BP) algorithm. Widrow-Hoff learning, dynamic BP and evolutionary learning are also described.

Applying Neural Networks To Manufacture

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Author : Anthony W. Smith
language : en
Publisher:
Release Date : 1988

Applying Neural Networks To Manufacture written by Anthony W. Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with categories.

Applying Neural Network Technologies

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Author : Yann Le Cun
language : en
Publisher:
Release Date : 1990

Applying Neural Network Technologies written by Yann Le Cun and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.

Issues In Applying Neural Networks For Identifying And Controlling Dynamic Systems

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Author : Kie Chee James Cheung
language : en
Publisher:
Release Date : 1997

Issues In Applying Neural Networks For Identifying And Controlling Dynamic Systems written by Kie Chee James Cheung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.

Convolutional Neural Networks For Medical Applications

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Author : Teik Toe Teoh
language : en
Publisher: Springer Nature
Release Date : 2023-03-23

Convolutional Neural Networks For Medical Applications written by Teik Toe Teoh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-23 with Computers categories.

Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performance enhancement techniques, which have been tried and tested successfully, such as specific data augmentations and image processing techniques utilized to improve the accuracy of the models.

Neural Networks In Business Forecasting

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Author : G. Peter Zhang
language : en
Publisher: IGI Global
Release Date : 2004-01-01

Neural Networks In Business Forecasting written by G. Peter Zhang and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Computers categories.

Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in forecasting using neural networks. Neural Networks in Business Forecasting provides for researchers and practitioners some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.

Applying Neural Networks To Combinatorial Optimization Problems

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Author : Laurie Elizabeth Atkinson
language : en
Publisher:
Release Date : 1991

Applying Neural Networks To Combinatorial Optimization Problems written by Laurie Elizabeth Atkinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Combinatorial optimization categories.

A Practical Methodology For Applying Neural Networks To Business Decision Problems

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Author : Roger Stein
language : en
Publisher:
Release Date : 1998

A Practical Methodology For Applying Neural Networks To Business Decision Problems written by Roger Stein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.