Soft Computing (Intelligent Agent)
Applications of Soft Computing in Mobile and Wireless Communications
... of soft computing (SC) is an important thesis in the area of intelligent and knowledge-based systems introduced by Zadeh ...[1]. Soft computing is patterned after human reasoning which is ...
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SOFT COMPUTING AND ITS USE IN RISK MANAGEMENT
... Among significant elements of soft computing it is possible to rank fuzzy logic, neural networks and genetic algorithms (Aliev,2002; Ribeiro,1999). Further it is possible to mention the parallel genetic, ...
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Early Detection of Cancer using Soft Computing
... applying soft computing techniques for cancer image mining may improve the performance and fetch better ...using soft computing techniques. Soft computing methods based on image ...
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Applications of Soft Computing in Civil Engineering: A Review
... of soft computing is the Artificial Neural Network ...extensive computing to perform a mathematical mapping ...of computing which are based on predefined rules, ANNs work on vague functional ...
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SOFT COMPUTING TECHNIQUES IN POWER SYSTEM ANALYSIS
... 1, soft computing, as opposed to conventional “hard” computing, is a technique that is tolerant of imprecision, uncertainty, partial truth and ...in soft computing. Some of the ...
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Soft-Computing Based Data Mining: A Review
... Abstract:Soft computing is a consortium of methodologies that works synergistically and provides, in one form or another, flexible information processing capability for handling real-life ambiguous ...problem. ...
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Role of soft computing as a tool in data mining
... Abstract— we live in a world where we can be overwhelmed with information; therefore it has become increasingly important to extract relevant information from the explosive amount of data for. Data Mining is the ...
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Soft computing methods for geoidal height transformation
... the soft computing methods and the polynomial approximation, we also applied a least-squares collocation procedure in order to recover the remaining fine structure of the local ...and computing ...
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Soft Computing Based Intrusion Detection System
... [16] Mahmoud Jazzar† and Aman Jantan††, A Novel Soft Computing Inference Engine Model for Intrusion Detection, IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.4, April 2008. ...
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A study on soft computing approach in weather forecasting
... using soft computing approaches namely Neural Network, RBFN, ANFIS, PSONN and compare its performance in terms of comparing their Mean Square Error (MSE) and Root Mean Square Error ...
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Soft computing in optimizing assembly lines balancing
... and second order methods, gradient descent (aka steepest descent or steepest ascent), interior point methods, line search method, Newton's method, quasi- Newton methods, subgradient method-similar to gradient method in ...
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On the Applicability of Soft Computing Techniques in Regression Testing
... Li, Z. et. al., compared the performance of genetic algorithms and greedy approaches in order to prioritize regression test cases [22]. The techniques were applied to six programs ranging 374 to 11,148 lines of codes. ...
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Design Aspects of Near Future Soft Computing
... Abstract – Exponential increasing rate of internet users, progress of smart cities and cloud based applications are trending to big data operations and challenges for green world. An efficient and formal approach of a ...
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Soft Computing In The Forecasting Of The Stock Exchange Of Thailand
... In applying soft computing, Rimcharoen, Sutivong and Chongstitvatana (2005) proposed an adaptive evolution strategy (ES) for Thai stock forecasting [14]. This study investigated five possible driving ...
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Soft Computing Approaches To Fault Tolerant Systems
... In many cases a problem can be solved most effectively by using FS, NN, EC, ML and PR in combination rather than exclusively. A striking example of a particularly effective combination is what has come to be known as ...
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SOFT COMPUTING APROACHES TO STOCK FORECASTING: A SURVEY.
... of soft computing techniques in the 90s, which has made available a plethora of soft computing methods that has attempted and successfully predicted the future prices, movement or index of the ...
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Heart Disease Prediction Using Soft Computing
... Here we are using ANFIS as our soft computing method, which is combination of fuzzy logic and artificial neural network. It is called Adaptive because it is a closed loop system. That is, back propagation ...
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Soft Computing as a tool for Classification of Cardiovascular Abnormalities
... In this study, the integration of PCA-NN structure performs well for the cardiovascular abnormalities classification than the conventional Neural Network (NN) classifier alone. Previously using Neural Network (NN) ...
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A Holistic Review of Soft Computing Techniques
... of soft computing (SC) are fuzzy logic (FL), neural network (NN) and probabilistic reasoning (PR), with the latter subsuming evolutionary computing including ant colony optimization (ACO), chaos ...
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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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