Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural...

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Main Authors: Kolman, Eyal, Margaliot, Michael
Format: Book
Language:English
Published: Springer 2017
Subjects:
Engineering
006.32
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/31247
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Institution: Vietnam National University, Hanoi
Language: English
id oai:112.137.131.14:VNU_123-31247
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spelling oai:112.137.131.14:VNU_123-312472020-06-12T02:03:47Z Knowledge-Based Neurocomputing: A Fuzzy Logic Approach Kolman, Eyal Margaliot, Michael Engineering 006.32 In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based neurocomputing in artificial neural networks (...) 2017-04-19T06:03:04Z 2017-04-19T06:03:04Z 2009 Book 9783540880776 http://repository.vnu.edu.vn/handle/VNU_123/31247 en 100 p. application/pdf Springer
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Engineering
006.32
spellingShingle Engineering
006.32
Kolman, Eyal
Margaliot, Michael
Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
description In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based neurocomputing in artificial neural networks (...)
format Book
author Kolman, Eyal
Margaliot, Michael
author_facet Kolman, Eyal
Margaliot, Michael
author_sort Kolman, Eyal
title Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
title_short Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
title_full Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
title_fullStr Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
title_full_unstemmed Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
title_sort knowledge-based neurocomputing: a fuzzy logic approach
publisher Springer
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/31247
_version_ 1680966590089134080

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