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In this paper, a kind of improved method of diploid genetic algorithm (DGA) without considering the dominant and recessive of the allele is given directed at the disadvantages of DGA which are easy to fall into premature convergence and have low efficiency in late period local searching. Improved the genetic operation process by imitating the reproductive processes of diplont and adopting the process...
In order to choose the rotating machinery fault diagnosis characteristics accurately, in this paper, a kind of choice method of fault diagnosis characteristics was put forward based on the time domain statistical analysis. Through analysis the probability distribution of the time domain dimensionless characteristic parameters, choose the parameters witch is obviously different from others and used...
Quantum neural network (QNN) gives us some advantages unattainable by classical artificial neural network. A model of quantum neuron composed of quantum gates is described. A model of quantum back propagation neural network (QBPNN) based on the quantum neuron and its training algorithm is investigated. A novel approach toward speech enhancement which adopts QBPNN is proposed. For comparison, evaluations...
Quantum Neural Network (QNN), a burgeoning new field which integrates quantum computation with classical neural network, can improve the inadequacies of artificial neural network. A model of quantum neuron and Quantum Back Propagation (BP) Neural Network based on quantum neuron are investigated. A novel approach toward speech enhancement which adopts Quantum BP Neural Network is proposed. The numerical...
In this paper, an analog current mode implementation of a neuron circuit capable of performing real Gaussian neighborhood taper learning is presented. The neuron cell is compacted with a reusable multiplier that can function as squarer and multiplier for Euclidean and topological distances calculation as well as for Gaussian function characteristics with adjustable learning rate. A four-neuron self-organizing...
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