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Training of parameters in RBF neural network, this article proposes an optimization of RBF neural network parameters algorithm, which can overcome the disadvantages of select of data center and weights in RBF neural network. The algorithm process input data normalization and compute network output and hidden layer output angle cosine firstly, a set of data being established as the network center when...
Restriction of normal speech from Chinese whispered speech based on radial basis function neural network (RBF NN) is proposed in this paper. Firstly, capture the nonlinear mapping of spectral envelope between whispered and normal speech by RBF NN; secondly, modify the spectral envelope of the whispered speech by adopting the trained neural network; finally, convert the whispered speech into normal...
Traffic matrix is a key parameter of traffic engineering, which describes the characteristics of IP networks from the global aspects. Though traffic matrix estimation is extensively studied, traffic matrix is generally unavailable in the large-scale IP network and is difficult to be estimated accurately. This paper proposes a novel method of large-scale IP traffic matrix estimation, termed the radial...
In this paper, a new style radial basis function neural network (RBF NN) is used for fault diagnosis in Particleboard Glue Mixing & Dosing System, which is firstly used in this field. The structure and its training algorithm of the network are discussed and the training algorithm chosen in the article is a self-adapt clustering training algorithm. The results of the simulation and fault tolerance...
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