Soft Computing
  • Soft Computing
  • Introduction
  • Requirement
    • Data Set
  • Applications
    • Matlab
      • Perceptron
        • Little Red Riding Hood
          • Output
      • SVM
        • Code
        • Execution
      • TreeDecision
        • Code
        • Execution
      • Kmeans - Kmedoids
        • Code
        • Execution
      • Dimensionality Reduction
        • Principal component analysis (PAC)
          • Code
          • Execution
    • Python
      • Setup
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  1. Applications
  2. Matlab

Perceptron

The perceptron is an algorithm for supervised learning of binary classifiers (functions that can decide whether an input, represented by a vector of numbers, belongs to some specific class or not).

It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector. The algorithm allows for online learning, in that it processes elements in the training set one at a time.

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Last updated 5 years ago

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