为了验证本算法的改进之处，本文还对传统神经网络和改进神经网络的诊断结果做了对比。
In order to verify the improvements of this algorithm, it shows contrast of the traditional neural network diagnostic results and improved neural network diagnostic results.
针对传统神经网络用于复杂过程系统的控制时难于收敛的问题，文章提出了基于混合建模的模块化的神经网络模型。
Against difficult convergence problem when the traditional neural networks are applied to complex process system, a hybrid expert neural networks model is brought forward.
实验表明，智能神经网络系统原理为克服传统神经网络收敛速度慢的缺点，同时不增加网络负担提供了一种有效方案。
The experiment shows that INNS provides a way to accelerate the astringent speed by constructing a complicate intelligent neural network based on simple networks and by adding some rules.
他发现进化后的大脑在执行其设定的任务时比传统的神经网络大脑具有更好的表现。
He has found that his evolved brains have become better than traditional neural network brains at the tasks he sets.
利用软测量的思想，采用神经网络建立软测量模型和小波分析进行数据处理，以克服传统方法的不足，提高出口带钢厚度预测的精度。
The idea of soft-measurement is used in our work and neural network and wavelet transform are adopted to overcome deficiency of traditional method and improve forecast accuracy of exit thickness.
传统的神经网络算法应用于故障诊断时，具有易陷入局部极小值，收敛速度较慢等缺点。
Traditional neural network algorithms are easy to fall into the local minimum, slow convergence when in fault diagnosis.
介绍前向人工神经网络模型，并与传统的统计学线性模型进行比较。
The author introduces the forward manual nerve net model and makes a comparison with the linear model of traditional statistics.
本文采用模糊神经网络算法对AT M网络进行连接接纳控制，仿真结果表明它比传统的算法有更好的效果。
This paper brings the fuzzy neural network algorithms into the call admission control in ATM networks. The simulation result shows that it has better effect than usual algorithms.
文章在对流动资金需求量预测的传统方法进行分析的基础上，指出了神经网络方法的适用性。
On the basis of analyzing the traditional methods of flowing funds demand prediction, the paper points out suitability of the method of neural network.
将神经网络理论应用于燃气调度预测之中，能克服传统预测方法的一些缺陷，快速、准确地得到预测结果。
Then it can overcome some defects of the traditional forecasting method and fast accurately get the forecasting result to apply nerve network theory to the gas-dispatching forecast.
根据轮毂上曲面的特殊性，提出了采用神经网络方法进行编程，实现数控加工，以取代传统的加工方法的设想。
According to the peculiarity of surface on wheel hub, the method of programming by neural network is presented to realize NC machining instead of traditional machining method.
本文改变传统的数学建模方法，运用神经网络方法，建立一个粘土的非线性本构关系模型。
Instead of traditional methods, a neural network method for building the nonlinear constitutive law model of clay is proposed in this paper.
实验结果表明，本文提出的水质反演模型较常规的线性回归模型和传统的神经网络模型有更高的反演精度。
The result of experiment shows that the developed model has more accuracy than the routine linear regression model and traditional neural network model.
结果表明：神经网络预测软件缺陷数比传统的G - O模型有更好的质量拟合度和估测能力。
It indicates that the neural network can produce models with better fitting quality and predictive quality in comparison with traditional G-O model.
检验结果表明，该模型在预测精度、实用价值和鲁棒性方面都优于传统的统计模型、神经网络模型和决策树模型。
Empirical results show that genetic programming model is more advantageous than traditional statistical models, neural network models and decision tree models in prediction accuracy and robustness.
传统的神经网络非均匀性校正算法对噪声具有较好的自适应性，但当空间低频噪声较大时，校正效果明显下降。
The traditional neural network correction has a good adaptivity to the noise. But with a stronger low frequency space noise, the correction effect is very poor.
同传统的PID控制相比较，神经网络智能PID控制有许多优点。
Neural network intelligence PID controller has many advanced properties compared with traditional PID controller.
为解决机构复杂的拟人机器人运动学和动力学问题，提出了基于传统机理结合神经网络的建模方法。
To resolve the kinematics modeling and dynamics modeling of a humanoid robot with complicated machine, a modeling method based on the conventional mechanism combined with neural network is presented.
函数逼近应用实例结果表明，将有理式多层神经网络用于解决传统问题是有效的。
Experiment result illustrates the effectiveness of the rational fraction multiplayer feed forward neural networks in solving traditional problems.
与传统的数学建模不同，本文利用了神经网络建模。
Compares with the traditional mathematics model, this article has used the neural network modeling.
神经网络稳定性分析的传统方法是采用权矩阵的定量分析。
Traditional approaches for the analysis of stability of neural networks are quantitative such as analysis of weight matrixes.
绕过传统的通过求解微分方程确定温度的方法，利用人工神经网络来预测管网系统的终端温度，从而为供热管网终端泄漏诊断提供参考依据。
The artificial neural network method was used to anticipate the terminal temperature of the heat pipe network, and the diagnosis can accord to the anticipation result.
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.
针对传统专家系统和神经网络的各自特点，将两者有机结合，构造了一种基于神经网络的混合型故障诊断专家系统。
According to the characters of traditional expert system and neural network, a neutral - network - based mixed fault diagnosis expert system was designed.
本文详细分析和研究了传统的优化理论、人工智能和神经网络在FMS优化控制中应用的适应性及各自的特点。
This paper surveys the application of classical optimization theory, artificial intelligent and neural network to FMS's control.
结果显示：基于层次分析与BP神经网络的评价结果，要比传统层次分析法的评价结果更精确。
The results showed that: compared with the only AHP, the evaluation result based on AHP and BP neural network method is more accurate.
通过人工神经网络得到的预测结果基本上与较传统的时间序列理论得到的预测结果精度相似。
The prediction of stock market based on the artificial neural network has almost the same precision as that based on time series models.
并应用传统的BP神经网络解决同样的问题以进行比较。
A classical Back Propagation Neural Network (BP NN) has been developed to solve the same problem for comparison.
本文在分别介绍了传统分类和聚类算法之后，详细分析了基于ART神经网络的聚类算法。
After introducing the traditional methods of classification and clustering, this paper gives a particular analysis of the ART-based clustering method.
传统的基于神经网络的图像KL变换方法存在一些不足。
There are some shortcomings for the conventional image KL transforms based on neural networks.
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