Multi-Backpropagation Network In Medical Diagnosis
نویسندگان
چکیده
Backpropagation (or backprop) algorithm is one of the well-known algorithms in neural networks. It is capable to deal with various types of data and also able to model a complex decision system. Some problem domains involve a large amount of data. The bigger the number of input or hidden units is, the more complex the model would be. Hence, reducing the network complexity would be an advantage to the network. This paper proposes a multibackpropagtion network that reduces the size of a large backpropagation network. The network is divided into several smaller networks, which act as a specialized network. As a result, the raining time would be reduced.
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