论文信息 - Adaptive optimization and control using neural networks

Adaptive optimization and control using neural networks

Abstract Recent work has demonstrated the ability of neural-network-based controllers to optimize and control machines with complex, non-linear, relatively unknown control spaces. We present a brief overview of neural networks via a taxonomy illustrating some capabilities of different kinds of neutral networks. We present some successful control examples, particularly the optimization and control of a small-angle negative ion source.

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