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Based on the analysis of The BP Neural Network's structrue and drawbacks, the article uses the Genetic Algorithms to optimize initial weights and thresholds. It still uses function simulation to compare these two neural networks based on the MATLAB. The results show that GA-BP neural networks can reduce the function time and make it more scientific.
A modeling method based on genetic neural network used for book purchasing is put forward on account of lacking of a set of scientific and uniform purchasing mode and model in current book purchasing process. This method improves standard genetic algorithm first, and then uses the improved standard genetic algorithm as a method of feed forward neural network training and threshold value of feed forward...
Ellipsoidal basis function(EBF) can make the partition and limitary of input space. Compared with the Guassian function of radial basis function(RBF) neural network, the EBF can make the partition of input space more specific, which has the higher capability of pattern recognition. However, the neural network has a common problem of training the weight and threshold. The evolution of genetic algorithm(GA)...
Qubit-inspired Genetic Algorithm (QGA) is an extension of genetic algorithm in which quantum mechanics and its representations are introduced. A chromosome in our QGA is concretized as a series of quantum-bit (qubit) described by its complex-valued representation, and phase-rotation gates are embedded into the selection process over generations. In our previous work, it has been shown that this scheme...
The objective of the study is to establish a model between the impedance characteristics and the sugar content of internal quality index of melons. The equivalent series resistor and equivalent series capacitor of melon are measured over the frequency from 1 KHz to 100 KHz by a LCR meter and an airtight shielding case. Then the impedance is calculated. Through principal component analysis (PCA), four...
Engine-Dynamometer system is a two-input, dual output system with nonlinear, time-varying characteristics of large inertia, and exists coupling within the system input and output. Using the traditional PID controller, the control is often difficult to achieve the desired effect. In addition, at the production site, because of being cumbersome and precision tuning effects, the traditional PID parameter...
Brain-computer interface (BCI) is a specific Human-Computer interface in which the brain wave is employed as the carrier of control information. The ultimate goal of BCI is to build a direct communication pathway between human brain and external environment that does not depend on the limb mobility and language. In this paper, we carry out the experiment about the left or right hand motor imagery,...
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