Programming Neural Networks with Encog3 in Java
by Jeff Heaton
Publisher: Heaton Research 2011
Number of pages: 242
The book introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced.
Home page url
Download or read it online for free here:
by Clifford A. Shaffer - Dover Publications
A comprehensive treatment focusing on the creation of efficient data structures and algorithms, explaining how to select the data structure best suited to specific problems. It uses Java programming language and is suitable for second-year courses.
by Mark Watson - Lulu.com
The book uses the author's libraries and the best of open source software to introduce AI (Artificial Intelligence) technologies like neural networks, genetic algorithms, expert systems, machine learning, and NLP (natural language processing).
by Alexandre Patchine, Dr. Heinz M. Kabutz
The book contains real-world advises and solutions from daily Java experiences. It covers most seeked Java topics and some other related ones. Although not a Java tutorial itself, it makes an excellent companion for a good Java textbook.
by Brendon J. Wilson - New Riders Publishing
A guided tour of the JXTA platform, including all of the critical information required to begin producing P2P solutions built on top of JXTA. The book assumes an intermediate level of Java development knowledge, and basic knowledge of networking.