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Various “biologically-inspired” models of computation have been developed over the years. Though their inception may have been inspired by biology, most are not biologically plausible. The concepts of training neural networks by back propagation and global observers occurs nowhere in nature. In this paper, a novel variation on a Radial-Basis Function (RBF) network is proposed that is biologically...
This paper studied the accelerating convergence of the vector sequences generated by BP algorithm with vector epsilon algorithm, and presented the conclusion that the algorithms is not only convergent but also accelerated. Finally, we tested them for three classical artificial neural network problems. By numerical experiments, results shown that can reduce CPU time for computation and improve the...
The production period of the crystalline aluminium chloride is considerably long. However, the offline assay of AlCl3??6H2O content has large time delay. Thus soft sensor modeling is needed to analyze its content, and estimate the value to improve the product quality. The conventional back-propagation (BP) neural network training is easily trapped to the local minimum, To overcome this embarrassment,...
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