针对该课题，本文对边坡稳定性评价的神经网络方法及神经网络的遗传优化进行了探讨和研究。
As to this method, some researches about the slope stability evaluation by neural networks method and its optimizing means were done by this thesis.
该方法利用加速度传感器的动态标定数据，采用遗传神经网络搜索和优化动态模型参数。
In this method, the dynamic model parameters of accelerometer are optimized by genetic neural network according to measurement data of the dynamic calibration.
将BP神经网络和遗传算法相结合运用于快速设计的结构优化问题。
BP neural networks and GA were applied to the optimal design of mechanical structure.
然后文章提出用遗传算法来优化神经网络结构，从而从整体上提升疾病诊断模型的性能。
Acordingly, it proposed that optimize the structure of neural network using genetic algorithms, so as to enhance the overall performance of disease diagnostic model.
采用神经网络与遗传算法相结合的方法，用黑箱模型计算催化精馏过程，并进行了全局优化；
A method, which combined neural network and genetic algorithms, was employed to simulate the catalytic distillation process by black box model and optimize the operational parameters.
由于动态神经网络结构及权值确定困难，采用二进制与实数编码相结合的联合编码，用遗传算法优化得到神经网络结构及对应权值。
To rise above the difficulty of determining NN's structure and weights, the GA optimization algorithm is used to get them by combining binary encoding with real encoding.
说明用神经网络模型描述微囊制作参数与性能之间的关系，用遗传算法优化微囊制作工艺参数，能设计出性能最佳的微囊制作工艺参数。
The optimum process parameters could be obtained using ANN model to describe relationships between process parameters and performance and GA to optimize process parameters.
提出了一种利用遗传算法优化前向神经网络的结构和正则项系数的混合学习算法。
A hybrid learning approach is presented in which genetic algorithms are used to optimize both the network architecture and the regularization coefficient.
用神经网络计算遗传算法的适应度，对结构进行优化。
Using BP neural networks, the fitness of GA was calculated, on the basis of which the mechanical structure was optimized.
鉴于常规卡尔曼滤波算法组合导航系统数据融合算法中，存在易于发散的缺陷，尝试将遗传优化人工神经网络引入组合导航系统中。
As the conventional Kalman filter is liable to get divergence in integrated navigation system data fusion, an artificial neural network based on the genetic algorithms was applied in the system.
本文在大量试验研究的基础上，应用神经网络方法和遗传算法对SLS的烧结过程和后处理过程进行了模拟和优化研究。
Using the neural network and genetic algorithms approaches, the SLS sintering process and its post-treatment process have been simulated and optimized on the basis of a series of experiments.
探讨了人工神经网络和遗传算法在酶法提取绿豆渣水溶性纤维素工艺优化方面的应用。
The application of artificial neural network-genetic algorithm in optimization of extraction process of soluble fiber from mungbean residue was studied.
神经网络建模和遗传算法优化是求解工程优化问题的一种行之有效的方法。
It is an efficient method to solve engineering optimization problems with neural networks and genetic algorithms.
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。
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。
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.
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