提出了一种构造组合神经网络的方法。
Some methods are put forward to construct combined neural networks.
实验结果表明，这种组合神经网络能够显著提高软件可靠性的预测精度。
The results of experiments indicate: the ensemble neural network can improve greatly the accuracy of software reliability prediction.
提出一种新的贝叶斯组合神经网络模型并将其应用于短期交通流量的预测。
Method named BAYESIAN combined neural network model is proposed for short term traffic flow prediction in this paper.
用该组合神经网络进行网络入侵检测，实验结果表明该组合方法是一种有效的入侵检测方法。
The combined neural networks will be used to detect the network intrusion, afterwards the experiment result shows the methods are valid.
组合神经网络可以克服单个神经网络功能的单一局限性，实现更加全面综合的仿真识别功能。
The combined neural network may overcome the limitation of the single neural network in simulation and identification performances, and has the advantage of implementing more comprehensive function.
并对外汇汇率数据进行了模型构造和预测。 结果表明，组合神经网络在模型的拟合精度和预测准确性方面都有提高。
Through constructing models and making predictions for the currency exchange rate data, we can see that the predictions of combined neural networks are improved.
并将小波神经网络非线性组合预测方法引入软基沉降预测中，以最大限度地提高软基沉降预测的准确性。
I also introduced wavelet neural network nonlinear combination forecast method in soft base settlement forecast to furthest advance the veracity of soft-base settlement forecast.
径向基函数(RBF)神经网络通过非线性基函数的线性组合执行。
Radial basis function (RBF) neural network is performed through linear combination of nonlinear basis function.
分析了BP神经网络和混沌优化的特点，并将混沌优化方法和梯度下降法结合起来构成一种新的组合搜索优化方法。
The characteristics of BP neural network and chaos optimal method are analyzed. By integrating chaos optimal method with gradient-decline method, an optimal method of combination search is created.
基于神经网络解决优化组合问题原理，将计算能量函数与罚函数有机地进行了统一。
Based on the theory of solving optimization combination problems by using neural networks, the computational energy functions are united with the penalty functions.
从仿生化学的角度来看协同作用于神经网络的组合药物将会是开发新药的新生长点。
From the viewpoint of biomimetic chemistry it could be a new growing point that to develop combined drugs acting synergistically on neural network.
对比发现，利用组合灰色神经网络模型预测的位移值较单独的灰色模型预测的位移值具有更高的精度。
It is more accurate of the forecasting results by the composite gray neural network model than that by the only gray models by comparison.
采用人工神经网络方法，实现该仪器对岩层识别及岩层组合劣化判断。
Using this apparatus the strata can be recognized and the inferior strata combination can be estimated be means of the method of the artificial neural network.
选出了最优组合。（4）采用BP神经网络对混凝土强度进行强度预测。
Selected the optimal combination. (4) BP neural network used to predict the strength of concrete strength.
提出了基于改进的BP神经网络学习算法和自适应残差补偿算法的炼铜转炉吹炼终点组合预报模型。
It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression.
为克服传统方法求解组合优化问题的困难，利用优化神经网络给出了算法。
Lastly, make use of neural networks, a new algorithm is presented for surmount the difficulty that use traditional method to solve optimization problem.
为提高计算效率，提出了基于人工神经网络(ANN)的发输电组合系统可靠性评估模型。
For improving the calculation efficiency of reliability evaluating (re) for bulk power system, a novel re model based on artificial neural network (ANN) is proposed.
参数应选择以这样的方式，其不同的组合，将让神经网络学习解决尚未在信号树立的榜样出现复杂局面。
The parameters should be chosen in such a way that its different combinations will let the neural network learn to solve complicated situations which haven't appeared in the example set of signals.
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.
本文分别针对数据的预处理、训练数据集大小以及输入向量的大小分别进行了研究，以确定使用BP神经网络预测的一个最佳参数组合。
Raw data preprocessing, the size of training data, as well as the size of input vectors have been studied separately, to find out the best parameter set of BP neural network prediction.
提出了利用模态频率、模态振型和模态柔度组合指标作为神经网络修正的输入参数。
And we suggest that mode frequencies, mode shapes and mode flexibility are regarded as input parameters of neural network modification.
针对一类非线性组合大系统，提出一种用高阶神经网络逼近互联大系统的新型设计方法。
A new design method using high order neural networks to approach interconnected system aiming at a class of nonlinear composite system is presented.
并且对基于神经网络的组合预测方法进行了研究，提出了一个神经网络和指数平滑模型组合运用的预测算法。
After study of the combined forecasting methods based on the ANN theory, it is put foreword that Exponential-Smooth (ES) and ANN combine a new prediction algorithm.
研究了应用线性网络对组合导航多传感器信息进行融合的方法，在此基础上提出了一种神经网络组合导航容错算法。
In this paper, a method of multi-sensor data fusion using neural network in integrated navigation system is given, and then a fault-tolerant algorithm is proposed.
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。
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.
探讨了采用广义BP神经网络理论来进行组合导航定位数据的非线性滤波方法。
A nonlinear filter method is discussed with broad sense BP neural network theory in the integrated navigation system.
研究了灰色系统理论与神经网络组合的灰色神经网络GNNM（1，1）模型的建模思想、网络结构及其优化GNNM（1，1）模型的方法和学习算法；
Study modelling thought, network configuration, majorize GNNM(1,1) mode method and learning algorithm of GNNM(1,1) mode combined grey system theory and neural network.
提出了设备运行状态综合预测模型，神经网络和灰色理论的组合应用，提高了状态预测的准确性。
A synthetic condition prediction model is presented, using neural network and grey theory together make it possible to predict accurately.
又小波网络较神经网络有更多的优点，通过比较，证实基于小波网络的非线性组合预测方法用于径流预报中更能提高预测的精度。
Compare to them, the result was that the nonlinear combinatorial forecasting method applying to the runoff forecasting based on the wavelet network can improve the forecast precision.
又小波网络较神经网络有更多的优点，通过比较，证实基于小波网络的非线性组合预测方法用于径流预报中更能提高预测的精度。
Compare to them, the result was that the nonlinear combinatorial forecasting method applying to the runoff forecasting based on the wavelet network can improve the forecast precision.
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