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Chapter 3 Contents
Select Section Overview
Select Section Section 3.1: Hyperplane Geometry
Select Section Section 3.2: Linear Separability
Select Section Section 3.3: Hyperplane Capacity
Current Section Section 3.4: Learning Rules for Single-Layer Networks
Select Subsection Section 3.4.1: The Perceptron Learning Algorithm
Select Subsection Section 3.4.2: Perceptron ConvergenceProof
Select Subsection Section 3.4.3: The Pocket Algorithm
Select Subsection Section 3.4.4: Rosenblatt's Perceptron
Select Section Section 3.5: Adalines and the Widrow-Hoff Learning Rule