Soft Computing (sc)
A Holistic Review of Soft Computing Techniques
... world, Soft Computing (SC) has played a vital role with automation capability features to new levels of complex ...of SC that sprang from the concept of cybernetics, explores and reviews the ...
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SOFT COMPUTING TECHNIQUES IN VARIOUS AREAS
... In real world, we have many problems which we have no way to solve logically, or problems which could be solved theoretically but it is impossible due to its requirement of huge resources and huge time required for ...
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When social computing meets soft computing: opportunities and insights
... Soft computing is defined as a collection of techniques spanning many fields that fall under various categories in computational intelligence ...[18]. Soft computing is a consor- tium of ...
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Soft Computing in Bioinformatics: Methodologies and Applications
... macromolecules. Soft computing is a consortium of methodologies that work synergistically and provide, in one form or another, flexible information processing capabilities for handling real life ambiguous ...
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Soft Set, A Soft Computing Approach For Dimensionality Reduction
... First Author- Mr. Janmejay Pant received his M.Tech degree in Information Technology from Graphic Era University. His areas of interest are soft computing and machine learning. He has published various ...
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A Survey on Soft Computing Techniques and Applications
... Abstract: Soft Computing is foundation of conceptual intelligence in ...mind. soft computing is tolerant of uncertainty, partial truth, imprecision and ...approximations. Soft ...
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HYBRID SOFT COMPUTING: THE PERCEPTION
... There is a wide scope of industrial and commercial problems that require the analysis of uncertain and imprecise information. Usually, an incomplete understanding of the problem domain further compounds the problem of ...
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Survey on Soft Computing based Call Admission Control in Wireless Networks
... of SC techniques with prime focus for ...using SC techniques like FL, NN and GA the problem of call dropping or rejection can be reduced to a greater ...each SC techniques and can help produce an ...
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Introduction_to_Softcomputing.ppt
... reasoning. Soft computing is likely to play an increasingly important role in many application areas, including software ...for soft computing the human ...
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Performance Analysis of FIS and ANFIS based MPPT for Solar PV System with Boost, SEPIC and CUK Converter Topologies
... two soft computing techniques and three converters and voltage variation results have been obtained accordingly, then these results are compared simultaneously to evaluate the overall performance of the PV ...
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A survey on Air Quality forecasting Techniques
... Abstract--Air pollution is becoming an environmental threat with the increase in industrialization and urbanization. The air quality is becoming essential both for the environment as well to the society. There are ...
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fuzzy-logic.ppt
... 1970 First Application of Fuzzy Logic in Control Engineering (Europe).. 1975 Introduction of Fuzzy Logic in Japan.[r] ...
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FuzzyTutorial.ppt
... • Consider, as an example, the fuzzy membership of a set, G , of liquids that taste good and the set, LA , of cities close to Los Angeles Juice Grape / 9.. They are then Tabulat[r] ...
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genetic.ppt
... Tabu Search Hill Climbing Simulated Anealing Evolutionary Algorithms Genetic Programming Genetic Algorithms Fibonacci Sort... Selection replicates the most successful?[r] ...
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Fuzzy_logic_method.ppt
... • Sugeno changed only a rule consequent: instead of a fuzzy set, he used a mathematical function of the input variable.. Mamdani or Sugeno[r] ...
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drug design.ppt
... Harpreet Kaur and G P S Raghava (2003) A neural network based method for prediction of -turns in proteins from multiple sequence alignment.. AlphaPred: A web server for prediction of [r] ...
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Clustering.ppt
... characteristics found in the data and grouping similar data objects into clusters... What is Cluster Analysis.[r] ...
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ann-intro.ppt
... if the desired and actual output are both active or both inactive, increment the connection weight by the learning. rate, otherwise decrement the weight by the learning rate[r] ...
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image process.ppt
... using the linear chromosome, we can’t evolve a simple median filter using this representation.. Wouldn’t it be nice if we could evolve.[r] ...
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Neuro fuzzy.ppt
... A hybrid system that combines a neural network and a rule-based expert system is called a.. and a rule-based expert system is called a neural neural.[r] ...
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