Beschreibung
InhaltsangabePreface. 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.
Inhaltsverzeichnis
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.
