Binding: Paperback Dewey Decimal Number: 005 EAN: 9780977320608 ISBN: 097732060X Label: Heaton Research, Inc. Manufacturer: Heaton Research, Inc. Number Of Items: 1 Number Of Pages: 380 Publication Date: November 25, 2005 Publisher: Heaton Research, Inc. Sales Rank: 210368 Studio: Heaton Research, Inc.
Introduction to Neural Networks in Java introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward backpropagation, Hopfield, and Kohonen networks are discussed. Additional AI topics, such as Genetic Algorithms and Simulated Annealing, are also introduced.
Practical examples are given for each neural network. Examples include the Traveling Salesman problem, handwriting recognition, fuzzy logic and learning mathematical functions. All Java source code can be downloaded online. In addition to showing the programmer how to construct these neural networks, the book discusses the Java Object Oriented Neural Engine (JOONE). JOONE is a free open source Java neural engine.
Customer Reviews
Average Rating:
Rating: - Very Nice
Very nice introduction to NeuralNetworks and how to implement them in Java.
If you're looking for deep concepts on NeuralNetwork this isn't the best choice.
But if you're looking to figure out how NeuralNetwork works and how to begin codeing them that's it.
Rating: - A bit disappointed because I expected more from this book.
I have been reading through the book. Actually it provides very clear explanations, but I had the impression the author talks too much and keep saying the same things over and over again. The book could be half its volume with the same content of knowledge. Besides the provided examples are a bit too simple and obvious.
Nothing much to put under the tooth. After reading it I felt left with my hunger for something deeper and more consistent. The algorithms provided also merely implement ... Read More
Rating: - Excellent practical book on neural networks using Java
Programming Neural Networks in Java will show the intermediate to advanced Java programmer how to create neural networks. This book attempts to teach neural network programming through two mechanisms. First the reader is shown how to create a reusable neural network package that could be used in any Java program. Second, this reusable neural network package is applied to several real world problems that are commonly faced by programmers. This book covers such topics as Kohonen neural networks, multi ... Read More
Rating: - Unique book
I have received my copy of the book and I can't put it down. It has been great help with my AI research at the University. I have the other book from the same author "Programming Spiders, Bots and Aggregators in Java" and I have the same comments for both. Both are easy to read, have precise information and great code. Chapter 7 of this book "OCR with Kohonen Neural Network" makes the book more than worth it. Great stuff. I hope the author does not stop and keep writting books like these. I recommend ... Read More
- A bit disappointed because I expected more from this book.
- Excellent practical book on neural networks using Java
