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Introduction to Neural Networks with Java

Jeff T Heaton




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 | #1288337 in Books |  Heaton Research, Inc. |  2005-11-25 | Original language:English | PDF # 1 |  9.25 x.78 x7.52l,1.46 | File type: PDF | 380 pages

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||2 of 2 people found the following review helpful.| Hard to follow|By Ig Le|First - somehow I have missed that there is second edition of the book. Of course its my fault, but anyway its not nice to still sell old book with the same price. It just happened that on my search in older version popped up and I bought it - no need to tell I felt bad after I find out about second edition.
Anyway after reading the book don't feel|About the Author|Jeff Heaton is an author, college instructor, and consultant. Jeff lives in Chesterfield (St. Louis), Missouri. The author of four books and over two dozen journal and magazine articles, Jeff specializes in Internet, socket-level/spidering and A

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, fu...

You can specify the type of files you want, for your device.Introduction to Neural Networks with Java   |  Jeff T Heaton. I was recommended this book by a dear friend of mine.

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