Neural Networks and Learning Machines
Haykin, Simon
Neural Networks and Learning Machines Simon Haykin - 3rd ed. - Delhi : Pearson India Education, 2016 - xxiv, 918 p. ill.; 23 cm.
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
9789332570313
Adaptive filters
Neural networks (Computer science)
006.32 / HAY
Neural Networks and Learning Machines Simon Haykin - 3rd ed. - Delhi : Pearson India Education, 2016 - xxiv, 918 p. ill.; 23 cm.
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
9789332570313
Adaptive filters
Neural networks (Computer science)
006.32 / HAY