Multi-Valued Neuron with Sigmoid Activation Function for Pattern Classification
نویسندگان
چکیده
منابع مشابه
Multi-Valued Neuron with Sigmoid Activation Function for Pattern Classification
Multi-Valued Neuron (MVN) was proposed for pattern classification. It operates with complex-valued inputs, outputs, and weights, and its learning algorithm is based on error-correcting rule. The activation function of MVN is not differentiable. Therefore, we can not apply backpropagation when constructing multilayer structures. In this paper, we propose a new neuron model, MVN-sig, to simulate ...
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ژورنال
عنوان ژورنال: Journal of Computer and Communications
سال: 2014
ISSN: 2327-5219,2327-5227
DOI: 10.4236/jcc.2014.24023