Advertisement

Introductory Problems

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

Abstract

This chapter introduces a few daily life problems, which lead to the concept of abstract neuron and neural network. They are all based on the process of adjusting a parameter such as a rate, a flow, or a current that feeds a given unit (tank, transistor, etc.), which triggers a certain activation function. The adjustable parameters are optimized to minimize a certain error function. At the end of the section we shall provide some conclusions, which will pave the path to the definition of the abstract neuron and neural networks.

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Mathematics & StatisticsEastern Michigan UniversityYpsilantiUSA

Personalised recommendations