https://www.selleckchem.com/products/U0126.html
In this article, a robust k-winner-take-all (k-WTA) neural network employing the saturation-allowed activation functions is designed and investigated to perform a k-WTA operation, and is shown to possess enhanced robustness to disturbance compared to existing k-WTA neural networks. Global convergence and robustness of the proposed k-WTA neural network are demonstrated through analysis and simulations. An application studied in detail is competitive multiagent coordination and dynamic task allocation, in which k active agents [among m (m &

https://blog.okfngroup.com/con....tent/summary-of-how-
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