Neural Networks and Learning Machines
Material type:
TextPublication details: New Delhi Pearson Pub. 2016Edition: 3rdDescription: 918pISBN: - 9789332570313
- 006.32 HAY-N
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Amity Central Library AIB | Text Book | 006.32 HAY-N (Browse shelf(Opens below)) | Link to resource | Available | 31329 | ||
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| 006.312 PUJ-D Data Mining Techniques | 006.32 HAY-N Neural Networks and Learning Machines | 006.32 HAY-N Neural Networks and Learning Machines | 006.32 HAY-N Neural Networks and Learning Machines | 174.2 IGN-B Bioethics | 174.2 IGN-B Bioethics | 174.2 IGN-B Bioethics |
Chapter 1 Rosenblatt's Perceptron
Chapter 2 Model Building through Regression
Chapter 3 The Least-Mean-Square Algorithm
Chapter 4 Multilayer Perceptrons
Chapter 5 Kernel Methods and Radial-Basis Function Networks
Chapter 6 Support Vector Machines
Chapter 7 Regularization Theory
Chapter 8 Principal-Components Analysis
Chapter 9 Self-Organizing Maps
Chapter 10 Information-Theoretic Learning Models
Chapter 11 Stochastic Methods Rooted in Statistical Mechanics
Chapter 12 Dynamic Programming
Chapter 13 Neurodynamics
Chapter 14 Bayseian Filtering for State Estimation of Dynamic Systems
Chapter 15 Dynamically Driven Recurrent Networks
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