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Artificial neural networks

  • Ernest Czogała
  • Jacek Łęski
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 47)

Abstract

Artificial neural networks are systems whose structure is inspired by the action of the nervous system and the human brain. A neuron is the basic unit of a biological neural network. This neuron is shown in Fig. 3.1.a. The neuron consists of inputs called dendrites and output (to other neurons) called axon. The transmission of a signal from an axon to dendrites of other neurons goes through synaptic contacts. The signals transmitted from the synapse to dendrites are modified according to the synaptic strength of connection (synaptic weight).

Keywords

Genetic Algorithm Artificial Neural Network Simulated Annealing Learning Rule Radial Basis Function Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2000

Authors and Affiliations

  • Ernest Czogała
    • 1
  • Jacek Łęski
    • 1
  1. 1.Institute of ElectronicsSilesian University of TechnologyGliwicePoland

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