Introduction to Neural Networks with Java, 2nd Edition - Tapa blanda

Heaton, Jeff

 
9781604390087: Introduction to Neural Networks with Java, 2nd Edition
Tapa blanda
ISBN 10: 1604390085 ISBN 13: 9781604390087
Editorial: Heaton Research, Incorporated, 2008

Sinopsis

Introduction to Neural Networks with Java, Second Edition, 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. Practical examples are given for each neural network. Examples include the traveling salesman problem, handwriting recognition, financial prediction, game strategy, mathematical functions, and Internet bots. All Java source code is available online for easy downloading.

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Acerca del autor

Jeff Heaton, PhD, is a computer scientist that specializes in data science and artificial intelligence. Specializing in Python, R, Java and C#, he is an open source contributor and author of more than ten books. His areas of expertise include predictive modeling, data mining, big data, business intelligence, and artificial intelligence. Jeff holds a Master's Degree in Information Management from Washington University and a PhD in computer science from Nova Southeastern University in computer science. He is the lead developer for the Encog Machine Learning Framework open source project, a senior member of IEEE, and a fellow of the Life Management Institute (FLMI).

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Editorial
Heaton Research, Incorporated
Año de publicación
2008
Idioma
Inglés
ISBN 10 
1604390085
ISBN 13 
9781604390087
Encuadernación
Tapa blanda
Número de páginas
440
Contacto del fabricante
Manufactured by Amazon on behalf of the author
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