Book Image

Neural Network Programming with Java - Second Edition

By : Fabio M. Soares, Alan M. F. Souza
Book Image

Neural Network Programming with Java - Second Edition

By: Fabio M. Soares, Alan M. F. Souza

Overview of this book

<p>Want to discover the current state-of-art in the field of neural networks that will let you understand and design new strategies to apply to more complex problems? This book takes you on a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with Java, giving you everything you need to stand out.</p> <p>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 practical examples. Further on, you will learn about some of the applications that are presented in this book such as weather forecasting, disease diagnosis, customer profiling, generalization, extreme machine learning, and characters recognition (OCR). Finally, you will learn methods to optimize and adapt neural networks in real time.</p> <p>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.</p>
Table of Contents (19 chapters)
Neural Network Programming with Java Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Discovering neural networks


By hearing the term neural networks we intuitively create a snapshot of a brain in our minds, and indeed that's right, if we consider the brain to be a big and natural neural network. However, what about artificial neural networks (ANNs)? Well, here comes an opposite word to natural, and the first thing now that comes into our head is an image of an artificial brain or a robot, given the term artificial. In this case, we also deal with creating a structure similar to and inspired by the human brain; therefore, this can be called artificial intelligence.

Now the reader newly introduced to ANN may be thinking that this book teaches how to build intelligent systems, including an artificial brain, capable of emulating the human mind using Java codes, isn't it? The amazing answer is yes, but of course, we will not cover the creation of artificial thinking machines such as those from the Matrix trilogy movies; the reader will be provided a walkthrough on the process of designing artificial neural network solutions capable of abstracting knowledge in raw data, taking advantage of the entire Java programming language framework.