Articoli correlati a Applications of Neural Networks

Applications of Neural Networks - Rilegato

 
9780792394426: Applications of Neural Networks

Sinossi

This text gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using "Supervised Training". Section C presents a number of examples of "Unsupervised Training". This book is designed for neural network enthusiasts and interested, open-minded sceptics. It leads the latter through the fundamentals into a varied series of neural success stories.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Contenuti

Preface. Section A: Introduction. 1. Neural Architectures and Algorithms; A. Murray. Section B: Supervised Training. B.1: Pattern Recognition and Classification. 2. Face Finding in Images; J.M. Vincent. 3. Sex Recognition from Faces Using Neural Networks; B. Golomb, T. Sejnowski. B.2: Diagnosis and Monitoring. 4. ANN Based Classification of Arrhythmias; M. Jabri, S. Pickard, P. Leong, Z. Chi, E. Tinker, R. Coggins, B. Flower. 5. Classification of Cells in Cervical Smears; M. Boom, L.P. Kok. 6. Multiphase Flow Monitoring in Oil Pipelines; C.M. Bishop. B.3: Prediction and Control. 7. Electrical Load Forecasting; Yuan-Yih Hsu, Chien-Chun Yang. 8. On the Application of Artificial Neural Networks to Process Control; M.J. Willis, G.A. Montague, C. Peel. 9. Nested Networks for Robot Control; A. Jansen, P. van der Smagt, F. Groen. B.4: Signal Processing. 10. Adaptive Equalisation Using Neural Networks; Sheng Chen. Section C: Unsupervised Training. C.1: Temporal Sequences -- Reinforcement Learning. 11. TD-Gammon: a Self Teaching Backgammon Program; G. Tesauro. 12. Temporal Difference Learning: a Chemical Process Control Application; S. Miller, R.J. Williams. C.2: Mixed-Mode (Supervised and Unsupervised) Training. 13. Automated Sleep EEG Analysis Using an RBF Network; S. Roberts, L. Tarassenko.

Product Description

Book by None

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.