Simulated data sets based on the Integration Equation Model (IEM) are used to train the neural network.
反演使用的模拟数据是用IEM模型得到的，并用来训练神经网络。
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.
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。
In this paper, an approach for resource constrained FMS scheduling is described, which integrates Hopfield neural network and simulated annealing algorithm.
提出利用神经网络和模拟退火技术来求解有约束的FMS资源调度问题的一种新方法。
In this paper, We mainly do researches on using chaotic neural network based on simulated annealing (CSAN) to solve TSP.
本文主要研究混沌模拟退火神经网络(CSAN)在求解tsp中的应用。
The mean field annealing approach is a new neural network model, which improves simulated annealing approach greatly.
均场退火方法既可以看作是一种新的神经网络计算模型，又可视为是对模拟退火的重大改进。
Compared result shows that integration of simulated annealing BP neural network has better performance, and is more accurate on the gear fault diagnosis.
结果对比表明，融合的模拟退火bp神经网络具有更好的性能，对齿轮故障的诊断精度更高。
The parameters of the fuzzy neural network controller are optimized by the mixed learning methods with BP algorithm and Simulated Annealing algorithm which improves BP algorithm.
该系统的控制器采用模糊神经网络控制器，它的控制器参数采用模拟退火算法全局优化来对BP算法进行改进的混合方法。
Simulated annealing, the neural network a good information!
模拟退火法，神经网络的好资料！
The method of intelligent control based on neural network is applied in electrode current of arc furnace. The electrode current is analyzed and simulated by the BP and RBF models of neural network.
讨论了基于神经网络对电弧炉电极进行智能控制的方法，运用神经网络的BP、RBF以及双隐层BP模型，分别对电弧炉电极的单相电流及三相电流进行了分析和仿真。
A generalized optimization method based on distributed knowledge - - - - simulated annealing algorithm based on KOHO-NEN neural network is presented in this paper.
本文提出了一种基于分布式知识的广义优化方法——基于KOHONEN神经网络的模拟退火算法。
Based on deeply discussing the principle of chaotic neural network model, the chaotic simulated annealing model with decaying chaotic noise (CSA-DCN) is presented.
在传统混沌神经网络模型的基础上，提出了一种具有衰减混沌噪声的混沌模拟退火神经网络模型(CSA - DCN)。
Based on experimental results and previous works, frictional loss of slurry in pipe has been simulated and predicated by artificial neural network.
在试验研究结果和前人工作基础上，利用人工神经网络法对管道内浆体摩阻损失进行拟合和预测。
Then, use the characteristic of RBF neural network can represent all functions at any accuracy to simulated surface of this complex spatial distribution function of the nonlinear.
该算法利用RBF网络能以任意精度逼近任意函数的特性，模拟地表空间分布这一复杂的非线性函数。
Applying the theory of ANN, in this paper established the BP neural network model to predict the trend of development of condition monitoring data and simulated the network in MATLAB.
应用神经网络理论，建立了预测状态监测数据趋势的BP神经网络模型，并通过MATLAB实现了仿真编程。
The stress field around the crack tip is simulated via the constructed Back-Propagation Neural Network (BPNN) whereby achieving the approximation of the stress field around the crack tip.
通过构造反向传播神经网络，对裂纹尖端的应力场进行模拟，进而实现对裂纹尖端应力场函数的逼近。
Improving BP neural network with simulated annealing algorithm can overcome the defect of falling into local optimal point easily, and further improve the network performance.
用模拟退火算法改进BP神经网络，克服了BP神经网络极易陷入局部最优点的缺点，进一步提高了网络的性能。
The typical faults of diesel injector were simulated and the pressure waves were measured with the pressure sensor clamped on high pressure line. Artificial neural network was used in fault diagnosis.
通过实验模拟喷油器的典型故障，用外卡式压力传感器测取高压油管的燃油压力波，并利用人工神经网络模型进行了故障诊断。
Simulated Annealing alternation and iterative algorithm applied in Neural Network is proposed forward in this paper, which overcomes some limitation of the traditional BP Neural Network.
提出了模拟退火的交替迭代算法的神经网络方法，克服了经典BP网络存在的一些缺陷。
Finally, through the simulated working environment, the performance of the new neural network is tested with the different signal feature as input.
最后，模拟实际检测中不同缺陷信号的特征量作为网络输入，并对网络性能进行测试。
The mean field annealing approach is a new neural network model, which improves the simulated annealing approach greatly.
均场退火方法既可以看作是一种新的神经网络计算模型 ，又可视为是对模拟退火的重大改进 。
The mean field annealing approach is a new neural network model, which improves the simulated annealing approach greatly.
均场退火方法既可以看作是一种新的神经网络计算模型 ，又可视为是对模拟退火的重大改进 。
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