In the electrodialysis process, separation percent (SP) had nonlinear relationships with a number of influencing factors (feed concentration (C), flow rate of dilute compartment (Q), reaction temperature (T) and appli...
详细信息
In the electrodialysis process, separation percent (SP) had nonlinear relationships with a number of influencing factors (feed concentration (C), flow rate of dilute compartment (Q), reaction temperature (T) and applied voltage (V)), and the relationships were hard to express by a simple formula. And four influencing factors had remarkable effects on SP. In this paper, the four factors were studied in the electrodialysis experiments. Back propagation (bp) neural networks and improved bp algorithms were applied on the prediction of SP, and their prediction capabilities could reflect generalization and adaptive abilities on complex data which had nonlinear relationships with each other. And with different structures of neural networks, transfer functions of neurons and learning rates, the optimum training parameters were obtained. Comparing bp neural networks with improved bp algorithms, improved bp algorithms were better than bp algorithm, due to changing with increasing ratios of learning rates and weights properly. And in the condition of high temperatures and voltages, the improved bp algorithms were predicted to have better performance, this was because improved bp algorithms had the generalization ability for high values. (C) 2012 Elsevier B.V. All rights reserved.
Effect factors on coal and gas outburst are analyzed using grey correlation method so as to determine the input parameters of artificial neural network (ANN). Then using the improvedbp algorithm, we choose five domin...
详细信息
Rock burst is one of the coal and rock dynamical disasters that must be kept in mind in mining activities. With the increase of mining depth, the risk of rock burst becomes increasingly great. At present, the risk pre...
详细信息
暂无评论