Artificial neural networks with Java : tools for building neural network applications /
Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main p...
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Main Authors: | |
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Published: |
Apress,
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Publisher Address: | [Berkeley, CA] : |
Publication Dates: | [2019] |
Literature type: | Book |
Language: | English |
Subjects: | |
Summary: |
Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be used in neural network development and suggests various techniques of data preparation for many unconventional tasks. The next big topic discussed in the book is using Java f |
Item Description: | Includes index. |
Carrier Form: | xix, 566 pages : illustrations ; 26 cm |
ISBN: |
9781484244203 1484244206 9781484244227 1484244222 |
Index Number: | QA76 |
CLC: | TP183 |
Call Number: | TP183/L788 |
Contents: | Chapter 1. Learning Neural Networks -- Chapter 2. Internal Mechanism of Neural Network Processing -- Chapter 3. Manual Neural Network Processing -- Chapter 4. Java Environment and Development Tools for Building Neural Network Applications -- Chapter 5. Neural Network Development Using Java Framework -- Chapter 6. Neural network Prediction outside of the Training Range -- Chapter 7. Processing More Complex Periodic Functions -- Chapter 8. Processing Non-continuous Functions -- Chapter 9. Approximation Continuous Functions with Complex Topology -- Chapter 10. Using Neural Network for Classific |