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Alan Souza - Neural Network Programming with Java

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Alan Souza Neural Network Programming with Java
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Create and unleash the power of neural networks by implementing professional Java code

About This Book

Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition

Explore the Java multi-platform feature to run your personal neural networks everywhere

This step-by-step guide will help you solve real-world problems and links neural network theory to their application

Who This Book Is For

This book is for Java developers with basic Java programming knowledge. No previous knowledge of neural networks is required as this book covers the concepts from scratch.

What You Will Learn
  • Get to grips with the basics of neural networks and what they are used for
  • Develop neural networks using hands-on examples
  • Explore and code the most widely-used learning algorithms to make your neural network learn from most types of data
  • Discover the power of neural networks unsupervised learning process to extract the intrinsic knowledge hidden behind the data
  • Apply the code generated in practical examples, including weather forecasting and pattern recognition
  • Understand how to make the best choice of learning parameters to ensure you have a more effective application
  • Select and split data sets into training, test, and validation, and explore validation strategies
  • Discover how to improve and optimize your neural network
In Detail

Vast quantities of data are produced every second. In this context, neural networks become a powerful technique to extract useful knowledge from large amounts of raw, seemingly unrelated data. One of the most preferred languages for neural network programming is Java as it is easier to write code using it, and most of the most popular neural network packages around already exist for Java. This makes it a versatile programming language for neural networks.

This book gives you a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with Java.

You will first learn the basics of neural networks and their process of learning. We then focus on what Perceptrons are and their features. Next, you will implement self-organizing maps using the concepts youve learned. Furthermore, you will learn about some of the applications that are presented in this book such as weather forecasting, disease diagnosis, customer profiling, and characters recognition (OCR). Finally, you will learn methods to optimize and adapt neural networks in real time.

All the examples generated in the book are provided in the form of illustrative source code, which merges object-oriented programming (OOP) concepts and neural network features to enhance your learning experience.

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Neural Network Programming with Java

Neural Network Programming with Java

Copyright 2016 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: January 2016

Production reference: 1060116

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78588-090-2

www.packtpub.com

Credits

Authors

Fbio M. Soares

Alan M.F. Souza

Reviewer

Saeed Afzal

Commissioning Editor

Amarabha Banerjee

Acquisition Editor

Rahul Nair

Content Development Editor

Riddhi Tuljapurkar

Technical Editor

Vivek Pala

Copy Editor

Tani Kothari

Project Coordinator

Kinjal Bari

Proofreader

Safis Editing

Indexer

Hemangini Bari

Graphics

Disha Haria

Production Coordinator

Nilesh Mohite

Cover Work

Nilesh Mohite

About the Authors

Fbio M. Soares holds a master's degree in applied computing from UFPA and is currently a PhD candidate at the same university. He has been designing neural network solutions since 2004 and has developed applications with this technique in several fields, ranging from telecommunications to chemistry process modeling, and his research topics cover supervised learning for data-driven modeling.

He is also self-employed, offering services such as IT infrastructure management as well as database administration to a number of small- and medium-sized companies in northern Brazil. In the past, he has worked for big companies such as Albras, one of the most important aluminium smelters in the world, and Eletronorte, a great power supplier in Brazil. He also has experience as a lecturer, having worked at the Federal Rural University of Amazon and as a Faculty of Castanhal, both in the state of Par, teaching subjects involving programming and artificial intelligence.

He has published a number of works, many of them available in English, all including the topics of artificial intelligence applied to some problem. His publications include conference proceedings, such as the TMS (The Minerals Metals and Materials Society), Light Metals and the Intelligent Data Engineering and Automated Learning. He has also has published two book chapters for Intech.

I would like to give a special acknowledgement to God for having given me the opportunity to get access to rich knowledge on this theme, which I simply love doing research on. Special thanks to my family, my father, Josaf, and mother, Maria Alice (in memoriam), who would be very proud of me for this book, and also my brother, Flvio, my aunt, Maria Irenice, as well as all my relatives who always supported me in some way during my studies. I would also like to thank the support of my advisor, Prof. Roberto Limo. I am very grateful to him for having invited me to work with him on many projects regarding artificial intelligence and neural networks. Also, special thanks to my partners and former partners from Exodus Sistemas, who have helped me in my challenges in programming and IT infrastructure. Finally, I'd like to thank my friend Alan Souza, who wrote this book with me, for having extended to me this authorship.

Alan M.F. Souza is computer engineer from Instituto de Estudos Superiores da Amaznia (IESAM). He holds a post-graduate degree in project management software and a master's degree in industrial processes (applied computing) from Universidade Federal do Par (UFPA). He has been working with neural networks since 2009 and has worked with IT Brazilian companies developing in Java, PHP, SQL, and other programming languages since 2006. He is passionate about programming and computational intelligence. Currently, he is a professor at Universidade da Amaznia (UNAMA) and a PhD candidate at UFPA.

Since I was a kid, I thought about writing a book. So, this book is a dream come true and the result of hard work. I'd like to thank God for giving me this opportunity. I'd also like to thank my father, Clio, my mother, Socorro, my sister, Alyne, and my amazing wife, Tayn, for understanding my absences and worries at various moments. I am grateful to all the members of my family and friends for always supporting me in difficult times and wishing for my success. I'd like to thank all the professors who passed through my life, especially Prof. Roberto Limo for introducing me the very first neural network concept. I must register my gratitude to Fbio Soares for this great partnership and friendship. Finally, I must appreciate the tireless team at Packt Publishing for the invitation and for helping us in the production process as a whole.

About the Reviewer

Saeed Afzal , also known as Smac Afzal, is a professional software engineer and technology enthusiast based in Pakistan. He specializes in solution architecture and the implementation of scalable high-performance applications.

He is passionate about providing automation solutions for different business needs on the Web. His current research and work includes the futuristic implementation of a next-generation web development framework, which reduces development time and cost and delivers productive websites with many necessary and killer features by default. He is hopeful of launching his upcoming technology in 2016.

He has also worked on the book Cloud Bees Development by Packt Publishing.

You can found out more about his skills and experience at >.

I would like to thank the Allah Almighty, my parents, and my wife, Dr. H. Zara Saeed, for all their encouragement.

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