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摘要: 综述了近年来联接主义智能控制的理论和应用上的研究进展,覆盖了神经网络的逼近和泛化能力、神经网络与混沌、监督学习算法等基本性质,以及神经网络建模、预测、优化和控制等联接主义智能控制系统的各个部分,并对今后的研究发展提出了展望.Abstract: The recent theoretic accomplishments and applications for connectionism intelligent control are thoroughly surveyed, including neural network's basic properties and all aspects of the connectionism intelligent control systems, such as approximation and generalization abilities, neural networks and chaos, supervised learning algorithms, neural networks modeling, prediction, optimization, control, etc. Finally the future research directions are suggested.
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Key words:
- Connectionism /
- intelligent control /
- neural networks /
- chaos
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