The Soft Side of Computing
An Overview of Soft Computing
... Abstract Soft computing, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life ...hard computing, soft computing is tolerant ...
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Applied Soft Computing
... about soft computing, such as International Conference on Parallel Problem Solving from Nature, Conference on Genetic and Evolutionary Computation, Conference on Evolutionary Computation, Journal of ...
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Applied Soft Computing
... [38] D. Karaboga, B. Basturk, On the performance of artificial bee colony (ABC) algo- rithm, Applied Soft Computing 8 (1) (2008) 687–697. [39] E. Cuevas, D. Zaldívar, M. Pérez-Cisneros, H. Sossa, V. Osuna, ...
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Soft Set, A Soft Computing Approach For Dimensionality Reduction
... [8] Y. Zou, Z.Xiao,”Data Analysis approaches of soft sets under incomplete informationn“, 2008. First Author- Mr. Janmejay Pant received his M.Tech degree in Information Technology from Graphic Era University. His ...
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PRICING ENDOWMENTS WITH SOFT COMPUTING
... with Soft Computing __________________________________________________________ only allows the fair price of the policy to be quantified, but also measures for the risk of mortality, both of which are ...
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HYBRID SOFT COMPUTING: THE PERCEPTION
... Keywords: Soft Computing, Fuzzy Logic, Neural Networks, Artificial Intelligence, ANFIS, Evolutionary Computing, Probabilistic Computing I INTRODUCTION There is a wide scope of industrial and ...
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Studies in Fuzziness and Soft Computing
... and Soft Computing” contains publications on various topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks, evolutionary computation, probabilistic and ...
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Soft computing models in mode choice
... They grow out of research interest in modeling bio- logical neural systems, especially human brains. Data for modelling was collected from Eskisehir City in Turkey. Data sample was splited into three parts according to ...
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SOFT COMPUTING AGENTS FOR DYNAMIC ROUTING
... address the growing complexity in all of its different aspects: performance, stability, security, connectivity, efficiency, routing. Current lines of research give the promise of stopgap solutions that will suffice for ...
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Soft Computing Agents for MPLS Networks
... 5. Conclusions In this paper a new fuzzy method for network routing based on users' preferences by a combination of Soft Computing Agents with MPLS network is realized. It is shown the realization of ...
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The Assembly of Neural Network in Soft Computing
... Soft computing refers to a collection of computational techniques in computer science, machine learning and some engineering disciplines, which study, model, and analyze very complex phenomena: those for ...
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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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Soft Computing Techniques for Mishaps Prediction
... ABSTRACT An attempt is made to implement the soft computing techniques in the prediction of the mishaps behaviors. The main objective of this paper is to implement the Multilayer Perceptron (MLP) neural ...
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Soft Computing Diagnostic System for Diabetes
... Technology Allahabad U.P., India, 211 004 ABSTRACT In the present paper, we propose a soft computing diagnostic system for detecting different phases of diabetes. The proposed system is user friendly and ...
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Intelligent PID Controller on Soft Computing
... using soft computing technique embodies its excellence. Soft computing has the features of intelligence and self- adaptation, so there is no need for the controlled objects constructing ...
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SOFT COMPUTING TECHNIQUES IN VARIOUS AREAS
... Abstract: Soft Computing techniques involve different methodologies, such as Fuzzy Logic, Fuzzy Set Theory, Rough Set Theory, Genetic Algorithms, Support Vector Machines and Neural ...hard computing ...
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Soft computing-based colour quantisation
... Figure 2 shows the Pool image together with the images colour quantised by the popularity, median cut, octree, and Neuquant algorithms as well as two of the soft- computing based techniques, namely the ...
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Simulation Optimization Using Soft Computing
... 5. Investigate, formulate, and develop an efficient and flexible mechanism to rep- resent virtually any vague concept expressed in natural language. 1.4 Organization of the Dissertation In Chapter 2 we include a survey ...
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Soft computing techniques applied to finance
... Portfolio management is another important subject in fi- nance where soft computing can play a significant role. Here, most of the applications have the basic structure of constrained optimization problems. ...
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Soft Computing Applications in Actuarial Science
... Genetic Algorithm Applications Genetic algorithms have become a popular alternative to linear programming and other optimization routines because of their power and ease of use. Moreover, as mentioned previously, an ...
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