This paper uses GA-BP model to construct three-layer NN model.
本文应用GA-BP网络模型，建立了三层GA-BP神经网络模型。
The GA-BP model is built by the nonlinear mapping ability of BP network and the global optimization of GA.
在GA - BP模型中主要是利用了BP网络的非线性映射能力和GA的全局优化能力。
The applications of hybrid algorithm based on GA-BP and rough set theory in the fault diagnosis of power transformer are studied in this paper.
本文研究了GA - BP混合算法和粗糙理论在电力变压器故障诊断中的应用。
The GA-BP learning algorithm of neural network, the GA learning algorithm, the rule of optimum control including their features were introduced.
给出了作为模型预估器的神经网络GA—BP算法流程及GA 算法实现， 提出了最优控制指标选择原则及控制指标表达式。
Further, the dynamic traffic data fusion technique based on the GA-BP Model is studied for the dual-source and triple-source dynamic traffic data.
并重点研究了基于遗传—bp神经网络组合模型的二源、三源动态交通流数据融合技术。
GA-BP neural network model is applied in matching and predicting the production of the gas Wells with 5.1% of the average relative error. It proves th...
利用GA - BP神经网络模型对气井产量进行了拟合和预测，拟合的平均相对误差为5.1%，表明新模型适用于洛带气田的产量递减预测。
It is concluded that GA-BP compound algorithm has improved the performance of ANN and good results nave bee obtained in coal and gas outburst intensity forecast.
该算法提高了网络性能，在煤与瓦斯突出强度预测中取得良好效果。
Based on the specific geological features of Shaximiao formation, this article used the best subset and GA-BP neural network models to predict the deliverability.
针对沙溪庙组特定的地质特征，本文采用了最佳子集及GA - BP神经网络模型预测产能。
Eventually, the response surfaces composed of the CD main influence factor H1, H2 and limit drawing depth are established by the combination of GA-BP neural network and Latin Hypercube.
最后通过GA - BP神经网络与拉丁超立方抽样法相结合构建了可控拉深筋主要影响因子h1和H2与极限拉深深度之间的响应面。
Applying the BP nerve network and GA-BP studying algorithm and carry on modeling to the equation of measuring, researching of suspended substance detector, have the higher examination accuracy.
应用BP神经网络和GA - BP学习算法对测量方程建模，研制的悬浮物检测仪，具有较高的检测精度。
Combined Genetic Algorithms (ga) and back-propagation neural network (BP), an optimized GA-BP model was established to predict phosphorus content. Some data were chosen to train the network model.
结合遗传算法(GA)和误差反馈型神经网络(BP)，建立了优化的GA - BP神经网络预测模型，预测转炉炼钢过程钢液终点磷含量。
Using BP neural networks, the fitness of GA was calculated, on the basis of which the mechanical structure was optimized.
用神经网络计算遗传算法的适应度，对结构进行优化。
The FNN constituted by NGA, whose convergence rate, optimizing capability and distinguish effect are superior to those of GA and BP, is accorded with project need of discriminating.
以NGA训练的模糊网络模型，在收敛速度、寻优能力和辨别效果方面均优于BP、GA算法下的模型，符合缺陷识别的工程需要。
A new method ameliorating the calibration accuracy for flowmeter that is based on BP network - (genetic) algorithms (GA) is proposed.
提出一种基于神经网络(BP)-遗传算法(GA)的高精度流量仪表标定方法。
Then, this paper, after analyzing the shortage of BP neural networks in convergence, betters it by combining with the orthogonal-crossover-operator-based GA.
然后分析了神经网络BP算法在收敛方面的不足，并针对其不足结合基于正交算子的遗传算法进行改进。
Simulation results of practical example show that the method can improve the calculation accuracy and the speed of the convergence process compared with BP and BP trained by GA.
实例计算表明，与BP算法及BP与GA结合算法比较，该方法在提高误差精度的同时可以加快训练收敛的速度。
The hybrid algorithm based on GA and BP algorithm has both rapid local searching ability derived from BP and better global searching ability derived from GA.
构建了一种基于GA - BP的混合遗传算法来综合遗传算法的全局优化能力和BP神经网络的快速收敛能力。
This paper provides an example of bidding model to forecast market clear price using BP network optimized by GA.
给出了一个发电侧竞价模型中应用遗传算法与BP算法结合进行市场出清价预测的实例。
The model (BPCM) combined the BP-GA algorithm and the chaos theory application to the flood forecast.
GA混合算法与混沌结合模型（BPCM）应用于洪水预报。
The model (BPCM) combined the BP-GA algorithm and the chaos theory application to the flood forecast.
GA混合算法与混沌结合模型（BPCM）应用于洪水预报。
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