Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
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The common denominator of all chapters is the use of knowledge-based methods, in particular ontological means. The chapters are categorized into theory contributions and practical applications.
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Soft Computing: Fuzzy Logic Approach in Wireless Sensors Networks
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Knowledge-based neurocomputing : a fuzzy logic approach
Authors: Kolman , Eyal, Margaliot , Michael. 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.
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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.