Eyal Kolman – författare
Visar alla böcker från författaren Eyal Kolman. Handla med fri frakt och snabb leverans.
3 produkter
3 produkter
Del 234 - Studies in Fuzziness and Soft Computing
Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
Inbunden, Engelska, 2009
1 115 kr
Skickas inom 10-15 vardagar
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.
E-bok
PDF, Engelska, 20081 416 kr
Läs direkt efter köp
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.
Del 234 - Studies in Fuzziness and Soft Computing
Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
Häftad, Engelska, 2010
1 082 kr
Skickas inom 10-15 vardagar
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.