In this paper, by using the gray system theory and the dynamic BP neural network, the combination forecasting model are discussed.
对时间序列的一类预测模型进行了研究，把灰色模型与BP神经网络模型组合建模，通过实例分析取得好的效果。
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。
To test the dynamic property, this pneumatic fatigue test system was identified by a recursive BP neural network.
为了考察该系统的动态性能，采用递归BP神经网络对该系统进行辨识。
To BP neural shortcoming of network, study one dynamic self-adaptation is it study improvement type BP algorithm of parameter to adjust.
针对BP神经网络的缺点，研究了一种动态自适应调整学习参数的改进型BP算法。
The identification algorithm integrating the forward evolutionary algorithm and improved BP algorithm for the dynamic recursive neural network model is formed.
与改进BP算法相结合，各取所长，形成集成化动态递归神经网络建模辨识算法。
The first network is BP network with one hidden layer, and the second network is linear status Neural network based on linear system dynamic equation.
第一种神经网络是具有一个隐层的动态前向BP网络，第二种是基于线性系统动态方程的线性状态神经网络。
The results show that the method of BP neural network used to identify moving force based on the dynamic model can effectively identify the moving force on the simple beams and continuous beams.
研究结果表明，基于动力模型的BP神经网络移动荷载识别方法，能够有效识别简支梁桥与连续梁桥上的移动车载；
Based on BP and RBF neural network model, the dynamic error of experiment was modeled and forecasted.
基于BP、R BF神经网络模型对实验系统的动态误差进行建模和预测。
In the last part of the article, the author set up a BP artificial neural network model, which can effectively predicts the dynamic cost of power plants.
最后建立了一个BP神经网络模型，对火电企业的动态成本进行有效的预测分析。
This paper proposes a method to build up a model of a Marine main engine based on BP neural network. A new method of selecting leaning rate is also stated using dynamic optimal algorithm.
该文研究用BP神经网络建立船舶主柴油机模型的方法，并对BP算法进行了改进，提出了一种动态优化学习率的方法。
This paper establishes dynamic forward feedback correction model with the method of combining Bayes regularization and BP neural network.
文中采用贝叶斯正则化与BP网络结合的方法，建立动态前馈校正模型。
CMAC is a local generalization neural network. Comparing with BP network, it has quicker convergent rate and better adaptability, thus it is suitable to dynamic real time on-line control.
CMAC神经网络是一个局部泛化网络，相比BP网络有更快的收敛速度和更好的适应性，非常适合用于动态在线实时控制。
BP artificial neural network was used to establish the calibration model of subjects' total cholesterol, glucose and hemoglobin values against dynamic spectrum data.
利用BP神经网络对此样本的总胆固醇、血糖、血红蛋白进行了建模和预测。
BP artificial neural network was used to establish the calibration model of subjects' total cholesterol, glucose and hemoglobin values against dynamic spectrum data.
利用BP神经网络对此样本的总胆固醇、血糖、血红蛋白进行了建模和预测。
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