The logic of neural networks.

Juan Luis Castro; Enric Trillas

Mathware and Soft Computing (1998)

  • Volume: 5, Issue: 1, page 23-37
  • ISSN: 1134-5632

Abstract

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This paper establishes the equivalence between multilayer feedforward networks and linear combinations of Lukasiewicz propositions. In this sense, multilayer forward networks have a logic interpretation, which should permit to apply logical techniques in the neural networks framework.

How to cite

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Castro, Juan Luis, and Trillas, Enric. "The logic of neural networks.." Mathware and Soft Computing 5.1 (1998): 23-37. <http://eudml.org/doc/39125>.

@article{Castro1998,
abstract = {This paper establishes the equivalence between multilayer feedforward networks and linear combinations of Lukasiewicz propositions. In this sense, multilayer forward networks have a logic interpretation, which should permit to apply logical techniques in the neural networks framework.},
author = {Castro, Juan Luis, Trillas, Enric},
journal = {Mathware and Soft Computing},
keywords = {Lógica difusa; Lógica multivaluada; Redes neuronales; Inteligencia artificial; Lukasiewicz logic; universal approximation; squashing functions; multilayer feedforward networks; neural networks},
language = {eng},
number = {1},
pages = {23-37},
title = {The logic of neural networks.},
url = {http://eudml.org/doc/39125},
volume = {5},
year = {1998},
}

TY - JOUR
AU - Castro, Juan Luis
AU - Trillas, Enric
TI - The logic of neural networks.
JO - Mathware and Soft Computing
PY - 1998
VL - 5
IS - 1
SP - 23
EP - 37
AB - This paper establishes the equivalence between multilayer feedforward networks and linear combinations of Lukasiewicz propositions. In this sense, multilayer forward networks have a logic interpretation, which should permit to apply logical techniques in the neural networks framework.
LA - eng
KW - Lógica difusa; Lógica multivaluada; Redes neuronales; Inteligencia artificial; Lukasiewicz logic; universal approximation; squashing functions; multilayer feedforward networks; neural networks
UR - http://eudml.org/doc/39125
ER -

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