Neural Networks and Learning Machines Simon Haykin
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9789332570313
- 006.32 HAY
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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CUTN Central Library Generalia | Non-fiction | 006.32 HAY (Browse shelf(Opens below)) | Available | 33887 | |
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CUTN Central Library Generalia | Non-fiction | 006.32 HAY (Browse shelf(Opens below)) | Available | 33888 | |
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CUTN Central Library Generalia | Non-fiction | 006.32 HAY (Browse shelf(Opens below)) | Available | 33889 |
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006.32 AGG Neural networks and deep learning : | 006.32 AMB introduction to neural networks / | 006.32 HAY Neural Networks and Learning Machines | 006.32 HAY Neural Networks and Learning Machines | 006.32 HAY Neural Networks and Learning Machines | 006.32 YEN Artificial neural networks | 006.32 YEN Artificial neural networks |
Rosenblatt's Perceptron
Model Building through Regression
The Least-Mean-Square Algorithm
Multilayer Perceptrons
Kernel Methods and Radial-Basis Function Networks
Support Vector Machines
Regularization Theory
Principal-Components Analysis
Self-Organizing Maps
Information-Theoretic Learning Models
Stochastic Methods Rooted in Statistical Mechanics
Dynamic Programming
Neurodynamics
Bayseian Filtering for State Estimation of Dynamic Systems
Dynamically Driven Recurrent Networks
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