Titlebook: Soft Computing for Recognition based on Biometrics; Patricia Melin,Janusz Kacprzyk,Witold Pedrycz Book 2010 Springer Berlin Heidelberg 201

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Jose A. Ruz-Hernandez,Ruben Salazar-Mendoza,Guillermo Jimenez de la C.,Ramon Garcia-Hernandez,Evgen ctuations that affect the accuracy of the MOSFET. For analog circuits this determines the trade-off between speed, power, accuracy and yield. Furthermore, due to the down-scaling of device dimensions, transistor mismatch has an increasing impact on digital circuits. The matching properties of MOSFET

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Fevrier Valdez,Patricia Melinc properties of the MOSFET.Includes supplementary material: .Matching Properties of Deep Sub-Micron MOS Transistors. examines this interesting phenomenon. Microscopic fluctuations cause stochastic parameter fluctuations that affect the accuracy of the MOSFET. For analog circuits this determines the

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Francisco Eduardo Gosch Ingram,Guadalupe Castilla Valdez,Héctor Joaquín Fraire Huacujac properties of the MOSFET.Includes supplementary material: .Matching Properties of Deep Sub-Micron MOS Transistors. examines this interesting phenomenon. Microscopic fluctuations cause stochastic parameter fluctuations that affect the accuracy of the MOSFET. For analog circuits this determines the

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Distributed Implementation of an Intelligent Data Classifiered data classifier which takes only metadata from distributed datasets avoiding the total access to the original data. Using only metadata reduces the computing time and bandwidth consumption required to build a data classifier.

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Real Time Face Identification Using a Neural Network Approaches extraction techniques, and a comparison between methods is made, in terms of their percentages of recognition. We described the most used techniques for this task [10], i.e.: Edge extraction, Wavelet Analysis, eigenfaces.

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Application of the Bee Swarm Optimization BSO to the Knapsack Problemh the combination of BA and PSO is given by BSO, Bee Swarm Optimization, this algorithm uses the velocity vector and the collective memories of PSO and the search based on the BA and the results are much better.

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Modular Neural Network with Fuzzy Integration and Its Optimization Using Genetic Algorithms for Humaintegrator. Also, we performed optimization of the modular neural networks and the fuzzy integrators using genetic algorithms, and comparisons were made between optimized results and the results without optimization.