(College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China)
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History+
Received
Revised
Published
1900-01-01
1900-01-01
2010-04-25
Issue Date
2010-04-25
Abstract
By analyzing the impact of the input factors on the output value in nonlinear function, it is suggested that when the input factors are independent, the Fourier Amplitudes which showing sensitivity values are relied mainly on the fundamental frequency. As a result, a fast pruning algorithm for the hidden neurons in the neural network is proposed based on the Fourier amplitude sensitivity test method. In essence, the Fourier amplitudes on the assigned frequencies of the hidden layer outputs are computed. Then the sensitivity of each hidden neuron to the neural network output is obtained. Finally, the redundant hidden neurons are pruned according to their sensitivity values to obtain a network with compact structure. The propose method is used in the soft measurement for Chemical Oxygen Demand(COD), which is a quality parameter of waste water. The experimental result shows that our proposed method is much faster than the Fourier amplitude sensitivity test method. The remaining neurons are the same after pruning for the two methods .
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