Abstract:ABsTRA::r Three adaptive versions of the Ho-Kashyap perceptron training algorithm are derived based on gradient descent strategies. These adaptive Ho-Kashyap (AHK) training rules are comparable in their complexity to the LMS and perceptron training rules and are capable of adaptively forming linear discriminant surfaces which guarantee linear separability, and positioning such surfaces for maximal classification robustness. In particular, a derived version called ARK II is capable of adaptively identifying cri… Show more
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