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Abstract Neurons

  • Ovidiu CalinEmail author
Chapter
  • 84 Downloads
Part of the Springer Series in the Data Sciences book series (SSDS)

Abstract

The abstract neuron  is the building block of any neural network. It is a unit that mimics a biological neuron, consisting of an input (incoming signal), weights (synaptic weights), and activation function (neuron firing model). This chapter introduces the most familiar types of neurons (perceptron, sigmoid neuron, etc.) and investigates their properties.

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Mathematics & StatisticsEastern Michigan UniversityYpsilantiUSA

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