In effect, the role model for soft computing is the human mind. The principal constituents of Soft Computing (SC) are Fuzzy Systems (FS), including Fuzzy Logic (FL); Evolutionary Computation (EC), including Genetic Algorithms (GA); Neural Networks (NN), including Neural Computing (NC); Machine Learning (ML); and Probabilistic Reasoning (PR). The successful applications of soft computing suggest that the impact of soft computing will be felt increasingly in the coming years. Soft computing is likely to play an important role in science and engineering, but eventually, its influence may extend much further.
The Seminar Report explains the successful applications of soft computing suggests that the impact of soft computing will be felt increasingly in the coming years of the new millennium. Soft computing is likely to play an especially important role in science and engineering, but eventually, its influence may extend much further. The Soft Computing Zip file contains documents and PPTs which will help you for preparing the seminar reports and PPT for the computer science engineering seminar.
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