In order to prevent neural network learning from getting into local extreme point, artificial immune network algorithm was used to optimize neural network's parameters.
为了避免神经网络的学习过程陷入局部极值点，采用人工免疫网络优化神经网络的参数。
During the use of the artificial neural network some nodes were deleted to optimize the network based on the correlation analytical theory.
在应用人工神经网络时，采用基于相关分析法的节点删除法来优化网络结构提高网络性能。
BP Neural Network is applied in this paper to establish the model between the process parameters and the shrinkage, and to optimize the process parameters by the test data.
采用BP神经网络建立注塑成型工艺参数与注塑制品收缩率之间的网络模型，并通过试验数据对成型工艺参数进行优化。
Acordingly, it proposed that optimize the structure of neural network using genetic algorithms, so as to enhance the overall performance of disease diagnostic model.
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。
Pruning algorithm is an important method to set up and optimize the structure of neural network model.
修剪法是确定和优化神经网络结构的重要方法之一。
Artificial neural network offers a new approach to its study and prediction of membrane fouling, which is an effective tool to optimize membrane bioreactor operating conditions.
人工神经网络为膜生物反应器膜污染预测的研究提供了新的思路，是膜生物反应器优化控制的有效工具。
In this paper, fuzzy neural network was studied and fuzzy reasoning was realized by use of neural networks structure. BP algorithm is used to optimize local parameter.
本文研究了模糊神经网络，用神经网络结构进行模糊推理，用BP算法调节和优化具有局部性的参数。
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.
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；
Use fuzziness measures as objective function of neural network can depict uncertainty of pixels' category validly so as to optimize image classification by minimizing the objective function.
使用模糊测度作为神经网络的目标函数可以有效地描述像素类别的不确定性，从而通过使其最小实现图像分类优化。
In addition, the paper makes use of Genetic Algorithms to optimize learning rates and inertia coefficients of Fuzzy-neural network, which can ensure that the controller achieves optimization control.
此外，通过遗传算法对模糊神经网络的学习速率和惯性系数等进行了优化，为控制系统实现最优控制提供了有力保证。
It can not only reduce the network learning cycle, but also optimize the network structure by using Kalman filter to adjust of the parameters of the neural network.
利用卡尔曼滤波调整神经网络的参数，不仅可以减少网络的学习周期，而且可以优化网络的结构。
In order to reduce the operation cost and optimize the unit commitment, the fast algorithm about unit commitment based on revised BP ANN (Artificial Neural Network) and dynamic search is discussed.
为了使机组达到最优组合，减少运行成本，研究了基于修正BP人工神经网络与动态搜索的快速算法在机组组合中的运用。
The principal component analysis method was adopted to simplify the training pattern of neural network, and optimize the structure of the network.
采用主成分分析方法简化神经网络训练样本，进而优化网络的结构。
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
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