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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing
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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

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:NT$ 12759 元
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Optimization of Fuzzy Logic Controllers with Distributed Bio-Inspired Algorithms.- Parallel-machine scheduling problem: An experimental study of instances difficulty and algorithms performance.- Comparison of Genetic Algorithm and Particle Swarm Optimization of Ensemble Neural Networks for Complex Time Series Prediction.- Path Planning by Search Algorithms in Graph-represented Workspaces.- Evaluation of Deep Learning Algorithms for Traffic Sign Detection to Implement on Embedded Systems.- Performance comparison of Parallel PSO-GA algorithm with dynamic parameter adjustment using Type-1 and Interval Type-2 Fuzzy Systems.- A novel study of the Multi-verse Optimizer and its applications on multiple areas of Computer Science.- Comparative Study of Type-1 and Interval Type-2 Fuzzy Systems in Parameter Adaptation of the Fuzzy Flower Pollination Algorithm.- A Comparative Study of the Grey Wolf Optimizer and Firefly Algorithm in Mathematical Benchmark Functions of the CEC 15 Competition.- Optimization of fuzzy controllers for autonomous mobile robots using the Stochastic Fractal Search method.- Fuzzy Dynamic Parameter Adaptation for Particle Swarm Optimization of Modular Granular Neural Networks applied to Time Series Prediction.- Review of fuzzy control for path tracking in the Robotino system.- Optimization of routes of a robot using bioinspired algorithms.- Optimal design of fuzzy logic systems through a Chicken Search Optimization algorithm applied to a benchmark problem.- Optimization of fuzzy trajectory tracking in autonomous mobile robots based on bio-inspired algorithms.- Swarm Intelligence: A Review of Optimization Algorithms Based on Animal Behavior.- Optimization of fuzzy systems through metaheuristics in control systems.- Optimal design of interval type-2 fuzzy tracking controllers of mobile robots using a metaheuristic algorithm.

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定價:100 12759
若需訂購本書,請電洽客服 02-25006600[分機130、131]。

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