M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network
作者： Engelbert Mephu Nguifo , Norbert Tsopze , Gilbert Tindo
DOI: 10.1007/978-3-642-04512-7_6
关键词:
摘要: Multilayer feedforward neural networks have been successfully applied in different domains. Defining an interpretable architecture of a multilayer perceptron (MLP) for given problem is still challenging. We propose novel approach based on concept lattices to automatically design network architecture. The designed can then be trained with the backpropagation algorithm. report experimental results obtained datasets, and discuss our contribution as means provide semantics each neuron order build network.
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