soft computing


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soft computing

[‚sȯft kəm′pyüd·iŋ]
(computer science)
A family of methods that imitate human intelligence with the goal of creating tools provided with some human-like capabilities (such as learning, reasoning, and decision making), and are based on fuzzy logic, neural networks, and probabilistic reasoning techniques such as genetic algorithms.
References in periodicals archive ?
Cherkassky, "Fuzzy Inference Systems: A Critical Review, Computational Intelligence: Soft Computing and Fuzzy Neuro Integration with Applications", Springer, Berlin, 1998.
The main objective of this paper is to investigate the accuracy of soft computing techniques such as gene expression programming, adaptive neuro fuzzy inference system and artificial neural network methods for the prediction of hourly water temperature in a lake at different measured depths.
Singh, "Adaptive control of DC motor using bacterial foraging algorithm," Applied Soft Computing Journal, vol.
The phase demodulation trouble has been formulated as an optimization challenge, where soft computing procedures may be used to find the phase solution that best matches the nonlinear equation represented by fringe patterns.
Contractor address : Soat, Soft Computing, Groupe One Point, Eugena Consulting
Studies in Fuzziness and Soft Computing, New York : Springer -Verlag, 2004.
Load Balancing in Cloud Computing using Stochastic Hill Climbing-A Soft Computing Approach", in proc.
Vihol Radio labeling for some cycle related graphs International Journal of Mathematics and Soft Computing 2(2)(2012) 11-24.
Soft computing refers to methods that exploit tolerance for imprecision, uncertainty, and partial truth to achieve tractability, robustness, and low cost.
Zadeh, Soft Computing and Intelligent data analysis in oil exploration, 2003, Elsevier.
He also established theoretical backgrounds in soft computing, evolutionary computing and logic reasoning for his future MCDM research.