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A new neural network architecture, call a higher order multi-layer neural networks(HOMLNN) is presented. The architecture of an HOMLNN is a modified model of the Evolved functional neural network(EFNN)with a hidden layer which is composed of self-evolve neurons and additional multiplication inputs between conventional inputs and self-evolve neurons. The authors drive a generalized dynamic backpropagation...
Different diagnosis models, including multiplayer perceptron (MLP), radial basis function (RBF) and two types of support vector machines (SVMs), were designed, analyzed and compared based on the fault diagnosis of an analogue circuit instance. The experimental results show SVM model is of higher classification rate than MLP and RBF models, while MLP model has better ability to deal with uncertain...
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