In this paper, a relevant automated electromagnetic (EM) optimization method and a novel, fast, and accurate artificial neural network are proposed for the efficient CAD modeling of microwave circuits. We lay the groundwork for our investigation of radial wavelet neural networks WNNs trained by BFGS
An optimal control model of neural networks for constrained optimization problems
β Scribed by Qiang Song; Robert P. Leland
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 67 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0143-2087
No coin nor oath required. For personal study only.
β¦ Synopsis
Optimization neural networks have been studied and applied in the literature, and the mechanism of such neural networks has been investigated from the point of view of optimization theory. Yet, no studies have been found by the authors to investigate the mechanism from a control systems' perspective. In this communication, the mechanism of the optimization neural networks will be studied from the point of view of control systems. It will be shown that an optimization neural network can be modelled as an optimal control problem.
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