期刊
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT III
卷 11141, 期 -, 页码 13-22出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-01424-7_2
关键词
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We show how to implement a simple procedure for support vector machine training as a recurrent neural network. Invoking the fact that support vector machines can be trained using Frank-Wolfe optimization which in turn can be seen as a form of reservoir computing, we obtain a model that is of simpler structure and can be implemented more easily than those proposed in previous contributions.
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