## Computational Intelligence: An IntroductionComputational intelligence as a new development paradigm of intelligent systems has resulted from a synergy between neural networks, fuzzy sets, and genetic computations. This emerging area, even at its very earliest stage, has already attracted the attention of top researchers and practitioners. Computational Intelligence: An Introduction delivers a highly readable and fully systematic treatment of the fundamentals of CI, along with the clear presentation of sound and comprehensive analysis and design practices. This text pulls together much of the scattered information written about this emerging field. Most publications dealing with CI are highly specialized and concentrate narrowly on the symbiosis between NN, FS, and GAs. Computational Intelligence: An Introduction bridges the gap between all three areas and CI. This is an important text for anyone engaged in any way with genetic algorithms, fuzzy sets, neural networks, and computational intelligence. |

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algorithms approximation architectures associated assume becomes best individual binary Boolean functions clustering concept connections consider context crossover decoding default defined denote discuss elements encoding entropy equal error evolutionary computing example expression fitness function frame of cognition fuzzy controller fuzzy neural network fuzzy relations fuzzy sets genetic Genetic Algorithms gradient-based granularity Gray coding hidden layer IEEE Trans input layer iteration knowledge representation linear linguistic terms logic mapping matrix measure of fuzziness mechanism membership functions membership values method modal values mutation neurocomputing neuron nonlinear operations optimization output layer parameters patterns Pedrycz performance index PID controller population preprocessing probabilistic problem processing quantified RBFs representation rough sets rule-based systems rules scheme search space sensor shadowed sets specific strings structure summarized t-norms topologies triangular fuzzy numbers triangular norms unit interval universe of discourse unsupervised learning variable vector x(k+l Xzznj Yager Zadeh zero