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Prof. Dilip Kumar Pratihar
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NOC:Fuzzy Logic and Neural Networks
by Prof. Dilip Kumar Pratihar
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NOC:Robotics
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NOC:Traditional and Non-Traditional Optimization Tools
by Prof. Dilip Kumar Pratihar
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NOC:Traditional and Non-Traditional Optimization Tools
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NOC:Fuzzy Logic and Neural Networks
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NOC:Fuzzy Logic and Neural Networks
Fuzzy logic is a branch of machine intelligence that helps computers understand the variations that occur in the uncertain and vague world in which we exist. Fuzzy logic “manipulates” vague concepts such as “warm” or “going fast”, in such a manner that it helps design machines like air conditioners and speed control systems to move or switch from one set of control criteria to another.
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NOC:Fuzzy Logic and Neural Networks
NOC:Robotics
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Published onLast Updated onUn-Published on
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NOC:Robotics
Robotics is the industry related to the engineering, construction and operation of robots – a broad and diverse field related to many commercial industries and consumer uses. The field of robotics generally involves looking at how any physical constructed technology system can perform a task or play a role in any interface or new technology.
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NOC:Robotics
NOC:Traditional and Non-Traditional Optimization Tools
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Published onLast Updated onUn-Published on
01 January, 1970
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NOC:Traditional and Non-Traditional Opti..
The principle of optimization will be explained in detail. The working principles of some traditional tools of optimization, namely exhaustive search method, random walk method, steepest descent method will be discussed with suitable numerical examples. The drawbacks of traditional tools for optimization will be stated. The working principle of one of the most popular non-traditional tools for optimization, namely genetic algorithm (GA) will be explained in detailed. Schema theorem of binary-coded GA will be discussed.