| Description |
1 online resource |
| Physical Medium |
polychrome |
| Description |
text file |
| Bibliography |
Includes bibliographical references (pages 197-203). |
| Contents |
1. Introduction -- 2. Information in Neural Networks -- 3. Information Minimization -- 4. Information Maximization -- 5. Constrained Information Maximization -- 6. Neural Feature Detectors -- 7. Information Maximization and Minimization -- 8. Information Controller -- 9. Information Control by [alpha]-Entropy -- 10. Integrated Information Processing Systems -- App. A. Data Description -- App. B. Sonority. |
| Summary |
In order to develop new types of information media and technology, it is essential to model complex and flexible information processing in living systems. This book presents a new approach to modeling complex information processing in living systems. Traditional information-theoretic methods in neural networks are unified in one framework, i.e. a-entropy. This new approach will enable information systems such as computers to imitate and simulate human complex behavior and to uncover the deepest secrets of the human mind. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Automatic speech recognition.
|
|
Automatic speech recognition. |
|
Entropy (Information theory)
|
|
Entropy (Information theory) |
|
Neural computers.
|
|
Neural computers. |
|
Neural networks (Computer science)
|
|
Neural networks (Computer science) |
| Genre/Form |
Electronic books.
|
| ISBN |
9789812778598 (electronic book) |
|
9812778594 (electronic book) |
|
9789810240752 |
|
9810240759 |
|
9812778594 |
|
