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Titlebook: Recent Advances on Hybrid Approaches for Designing Intelligent Systems; Oscar Castillo,Patricia Melin,Janusz Kacprzyk Book 2014 Springer I

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樓主: Twinge
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發(fā)表于 2025-3-28 14:45:48 | 只看該作者
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發(fā)表于 2025-3-28 22:35:34 | 只看該作者
A Type 2 Fuzzy Neural Network Ensemble to Estimate Time Increased Probability of Seismic Hazard in Ngion of the Baja California Peninsula. Three algorithms are used with the ensemble: data analysis, M8 and CN. Seismic data coordinates are used in probabilistic fuzzy sets that are processed in the three fuzzy neural networks that integrate the ensemble to generate an output of a probabilistic set o
43#
發(fā)表于 2025-3-29 02:03:17 | 只看該作者
Shipwrecked on Fear: Selection of Electives in School Minorities in a University Using Cuckoo Searchoximately 87 educational studies on Bachelor level, this sample is composed by: (Safety Sciences, Interior Design, Sports Training and Aeronautics) assuming that any student want to analyze the way in which these minority groups selected electives to complete the set of credits in their respective s
44#
發(fā)表于 2025-3-29 03:46:54 | 只看該作者
An Admission Control and Channel Allocation Algorithm Based on Particle Swarm Optimization for Cognies generate more data than ever before, facing the way cellular networks are deployed today to meet the ever increasing traffic demand. Making new exclusive spectrum available to meet traffic demand is challenging since spectrum resources are finite, therefore costly. Cognitive radio technology is p
45#
發(fā)表于 2025-3-29 08:48:32 | 只看該作者
Optimization of Fuzzy Controllers Design Using the Bee Colony Algorithmoptimizing fuzzy controllers, BCO is a heuristic technique inspired by the behavior of honey bees in the nature, to solve optimization problems. This was tested in two BCO optimization problems, one optimized set of mathematical functions for twenty to fifty dimensions, and two fuzzy controllers’ op
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發(fā)表于 2025-3-29 13:33:35 | 只看該作者
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發(fā)表于 2025-3-29 17:15:18 | 只看該作者
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發(fā)表于 2025-3-29 23:37:44 | 只看該作者
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發(fā)表于 2025-3-30 02:36:33 | 只看該作者
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發(fā)表于 2025-3-30 05:21:31 | 只看該作者
Comparative Study of Social Network Structures in PSOO and . PSO algorithms are star, ring, Von Neumann and random topologies. Each topology is implemented on four benchmark functions. The objective is knows the performance between each topology with different dimensions. Benchmark functions were used such as Rastrigin, Griewank, Rosenbrock and Sphere
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