Artificial Neural Networks with Java Tools for Building Neural Network Applications /

• Main Author: Livshin, Igor (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 1st ed. 2019.
• Subjects: Java (Computer program language).; Artificial intelligence.; Open source software.; Computer programming.; Java.; Artificial Intelligence.; Open Source.

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...

Table of 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 Classification of Objects
• Chapter 11. Importance of Selecting a Correct Model
• Chapter 12. Approximation of Functions in 3-D Space.