Titlebook: Analysis and Design of Intelligent Systems Using Soft Computing Techniques; Patricia Melin,Oscar Castillo,Witold Pedrycz Book 2007 Springe

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Accommodation

填料

Interval Type-1 Non-singleton Type-2 TSK Fuzzy Logic Systems Using the Hybrid Training Method RLS-BPing input-output data pairs during the forward pass of the training process, the interval type-1 non-singleton type-2 TSK FLS output is calculated and the consequent parameters are estimated by the recursive least-squares (RLS) method. In the backward pass, the error propagates backward, and the ant

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An Efficient Computational Method to Implement Type-2 Fuzzy Logic in Control Applications. Type-2 input membership functions were optimized using the Human Evolutionary Model (HEM) considering as the objective function the Integral of Squared Error at the controllers output. Statistical tests were achieved considering how the error at the controller’s output is diminished in presence of

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Building Fuzzy Inference Systems with the Interval Type-2 Fuzzy Logic Toolboxlation of Interval Type-2 Fuzzy Inference Systems. The Interval Type-2 Fuzzy Logic System Toolbox (IT2FLS), is an environment for interval type-2 fuzzy logic inference system development. Tools that cover the different phases of the fuzzy system design process, from the initial description phase, to