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On the basis of the heavy metal pollution datum tested in 162 months uninterruptedly of a tailings pond effluent, this paper studied the rules of heavy metal pollution by applying mathematic statistics method. And the artificial neural network based on the improved BP algorithm is applied to predict the heavy metal ions' concentration of tailings pond effluent so as to further disclose the pollution...
The simulation of the submarine battery charge process is an important part of the submarine battery modeling, which is especially a firm foundation for the further optimization usage of the modules of the whole submarine power system. In this paper, the modeling strategy of the submarine battery charge process is discussed in detail firstly, in succession an integrated algorithm in which both the...
This paper presents an evolutionary structure for neural trees by differential evolution. For a neural tree a structure tree and weights tree are defined. A partial ordering based multi-dimensional fitness function is applied to measure the energy of the system. Different to traditional evolution method of genetic programming, a new evolution technique based on differential evolution is proposed....
It's well known that artificial neural networks (ANN) are very commonly used for load forecasting in recent years, and it is the key point to select proper factors as input variables of ANN. According to the characteristics of electric short-term load forecasting, a complementation method based on fuzzy-rough set theory and BP NN is proposed to deal with this problem in the paper. First of all, we...
In this paper, we developed a highly efficient frame-level online adaptive voice activity detection (VAD) algorithm for the telephone-based CU Communicator spoken dialog system. The adaptive algorithm uses prior speaker and channel statistics as well as acoustic features of current sample frames to update model parameters. The algorithm achieved .05xRT in contrast to .7xRT of a compared VAD algorithm...
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