Introduction to Neural Networks with Java
Overview & Synopsis
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.
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Document Information
| Document Title | Introduction to Neural Networks with Java |
|---|---|
| Author / Organization | Jeff T Heaton |
| Subject & Discipline | Neural Networks and Deep Learning, Advanced Java, Artificial Intelligence, Machine Learning, and Logic Programming, Algorithms and Data Structures, Java Programming and Java EE (J2EE) |
| Categories | Neural Networks and Deep Learning |
| Publication Year | 2005 |
| ISBN | 097732060X |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | -0 KB (-1 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-4474 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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