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 ?
A Network-Based Intellectual Information System for Learning and Testing, Fourth International Conference on Application of Fuzzy Systems and Soft Computing, Siegen, Germany, 2000, pp.
Fuzzy MCDM approach for selecting the best environment-watershed plan, Applied Soft Computing 11(1): 265-275.
More than two decades later, in 1991, he introduced another new paradigm: soft computing, a hybrid methodology embracing fuzzy logic, neural networks, evolutive algorithms and probabilistic reasoning.
A hybrid ANFIS model based on AR and volatility for TAIEX forecasting, Applied Soft Computing 11: 1388-1395.
Acharya, Data Mining: Multimedia, Soft Computing, and Bioinformatics, John Wiley & Sons, Inc.
Fusion of soft computing and hard computing in industrial applications: An overview.
They concluded that soft computing shows great potential to simplify synchronizer design, increase robustness and improve performance which is critical to overall receiver performance measure [18].
Called "emergent soft computing," the software can extract meaning from images even when faced with complex backgrounds and variations in brightness.
Among other areas, artificial intelligence (AI) and soft computing can be mentioned in this context.
The company also will provide research support in artificial intelligence, knowledge-based systems, knowledge discovery, data mining, soft computing (including neural networks and fuzzy control methods), nanotechnology information processing and sensors.