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Titlebook: Soft Computing Applications in Industry; Bhanu Prasad Book 2008 Springer-Verlag Berlin Heidelberg 2008 Markov.Markov model.Statistica.algo

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Soft Query-Answering Computing in P2P Systems with Epistemically Independent Peers,tive databases in order to handle this incompleteness/uncertainty. These extensions can broadly be characterized into non-probabilistic and probabilistic formalisms. Approximate (uncertain) information can be considered as a kind of . of truth values for sentences. This is the standard approach used
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Power Distribution System Fault Diagnosis Using Hybrid Algorithm of Fuzzy Classification and Artifiom high voltage transmission circuits to customers. Any interruption in their service may cause economical loss, damage equipments, and even endanger people lives. When a power outage (i.e., the loss of the electricity supply to an area) occurs, it is of great importance to diagnose the fault and re
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Optimization of Industrial Processes Using Improved and Modified Differential Evolution,maximum possible reliability, or others. Because of such extreme properties of optimal solutions, optimization methods are of great importance in practice, particularly in engineering design, scientific experiments and business decision-making.
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Software Development Knowledge Management Using Case-Based Reasoning,ty of software systems (Coulange 1997, Gamma et al. 1995, Jacobson et al. 1997, Meyer 1987, Prieto-Diaz 1993); it minimizes the loss of know-how when a member of the development team abandons the company; and it enables knowledge sharing across different development teams or projects.
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Self-organization in Evolution for the Solving of Distributed Terrestrial Transportation Problems,ds. By separating the transportation network from the underlying demands, the approach theoretically allows to deal with noisy or incomplete data as well as with fluctuating demand. Furthermore, continuous visual feedback during simulations is naturally allowed.
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Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier,esired CA required for diagnosis of a circuit under test (CUT). The CUT is assumed to have a network of large number of circuit components partitioned into a number of sub-circuits referred to as modules. Introduction of GA significantly reduces the design overhead of the MACA based classifier that supports:
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