提出了一种基于混沌变量的多层模糊神经网络优化算法设计。
An optimization algorithm design based on chaotic variable is proposed for multilayer fuzzy neural network.
提出了一种基于蚁群聚类算法和裁剪方法的RBF神经网络优化算法。
An optimization algorithm of RBF Neural Networks based on ant colony clustering and a pruning method is proposed.
说明：基于粒子群的神经网络优化算法的应用，在土壤水分特征曲线中的应用。
Neural network based on particle swarm optimization algorithm applied in the soil moisture characteristic curve application.
本文从神经网络模型的结构出发，对学习算法提出了一系列改进和优化措施，以加快网络的学习速度，并增加模型的稳定性。
With the study of neural network model, this paper advances some of improvement and optimization techniques that can accelerate the learning speed of network and increase the stability of model.
为克服现有入侵检测存在的不足，本文从特征提取、模糊神经网络应用于入侵检测、算法优化等方面进行了系统研究。
To ride of the shortage of the id, we study on the extraction of the features, id method based on fuzzy neural network, and algorithm optimization and so on.
为了对微波谐振腔含水率测量结果进行校正，提出一种基于IA - BP优化算法的进化神经网络模型。
In order to correct the measuring results of moisture from microwave resonator, the IA-BP optimization algorithm based evolutionary neural network model is presented.
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.
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.
第三部分对基于混沌优化算法的模糊优选神经网络预测模型进行研究。
In the third part, the prediction model of fuzzy optimal selection neural network based on chaotic optimization algorithm is studied.
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.
神经网络的训练采用一阶梯度优化算法，利用点堆中子动力学模型产生训练样本。
The first order gradient optimization algorithm is employed to train the network. The training samples stem from the neutron kinetics of the point-reactor.
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.
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.
压缩负荷和应力的优化结果与理论计算值的误差分别为7.4%、9%，因此，利用神经网络和遗传算法进行结构参数优化的方法是可行的。
The errors between optimization values and theoretic results of the compression load and stress are 7.4% and 9% respectively. This method is effective to optimize structural parameters.
实验结果表明：算法优化后的神经网络分类器不但学习速度快，还能保证分类精度。
Experiment shows neural network classifier that is optimized by algorithm could not only have fast learning speed but also ensure accuracy of classification.
介绍了酸轧机组神经网络模型的数据筛选算法及筛选优化过程，重点分析了单纯形算法及其在样本数据筛选过程中的应用。
It introduces data sort algorithm and process for sorting and optimizing of The Sour Rolling Mill nerve network model, and importantly analyse Simplex and its application on sample data sort.
把填充函数法与BP算法相结合，提出一种训练前向神经网络的混合型全局优化新算法。
This paper proposes a new global optimization technique in which combines the filled function method and BP algorithm for Training feedforward neural networks.
神经网络作为一种新型的优化算法，可以替代自适应均衡算法中的横向滤波器，在数字通信系统中得到了广泛应用。
As a kind of new optimized algorithm, neural network can substitute for landscape orientation filter in adaptive equalization, and it has been widely used in digital communication system.
对每个控制模块设计了相应的模糊优化控制算法，并用改进的BP神经网络实现算法的模糊关系。
Fuzzy optimal control arithmetic was designed for each module, and an improved BP neural network was introduced to implement the fuzzy relation.
在神经网络设计中，采用了变尺度优化算法，提高了算法的速度和精度，对空战的实时应用提供了重要的参数价值。
In the design of neural network, optimizing algorithm of DFP is used and reference value for real time application in aerial combat is provided.
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。
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。
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.
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