Compares with the traditional mathematics model, this article has used the neural network modeling.
与传统的数学建模不同，本文利用了神经网络建模。
Since the respiration rate is difficult to get, neural network modeling technique and DO process mathematic model are combined to obtain the hybrid model of DO.
由于溶解氧过程模型中的呼吸率不易直接得到，将神经网络建模技术与溶解氧过程数学模型相结合得到溶解氧的混合非线性过程模型。
By adopting the method of soft measurement with Feed forward neural network modeling, the black liquid Baume scale of pulping section in papermaking process has been measured.
采用前向神经网络建模的软测量方法，对造纸过程制浆工段的黑液波美度进行测量。
A Hybrid fuzzy neural network modeling method was presented. On the basis of CCT fuzzy neural network and fuzzy cluster method, this method can deal with discrete variables input.
针对模糊神经网络不能接受离散标称变量输入的缺陷，在CCT模糊神经网络和模糊聚类方法的基础上，提出了一种混合模糊神经网络建模方法。
The characteristic of diesel engine model and neural network modeling theory are analyzed in this paper. Based on compiling arithmetic, an example as used to validate the model's reliability.
分析了柴油机模型的特点及用神经网络建立柴油机排放模型的方法，在此基础上，编写了柴油机排放模型的算法，并用一个实例验证了该模型的可靠性。
A method of neural network prediction based on wavelet decomposition is proposed by combining the theory of wavelet analysis with the fundamental principle of neural network modeling and prediction.
将小波分析理论与神经网络建模预测基本原理相结合，提出了基于小波分解的神经网络预测方法。
Summarizing the whole work, Expectation the using of neural-network modeling and intelligent digital filtering technology on the aeroengine.
总结全文，展望神经网络建模和智能数字滤波技术在航空发动机领域的重要性及其应用。
Secondly, power line noise channel and multi-path channel optimization modeling techniques based on artificial neural network are proposed.
其次，提出了电力线噪声信道和多径信道的神经网络优化建模方法。
A new hybrid neural networks modeling approach, named structure approaching hybrid neural network (SAHNN) is presented in this paper.
提出了一种新的混合神经网络建模方法——结构逼近式混合神经网络。
This study shows that the compound fuzzy neural network not only possesses evident dominant in modeling precision, but also possesses a good prospect in the application of production process.
研究表明，论文提出的复合型模糊神经网络不仅在建模精度上有着明显的优势，而且在实际生产过程的应用上具有良好前景。
Thus obtains the use neural network method in the simulation the modeling is one effective method, is specially better regarding the non-linear complex system effect.
从而得出利用神经网络方法在仿真中建模是一种行之有效的方法，特别是对于非线性复杂系统效果更佳。
People have studied the combination of fuzzy logic and neural network. For many years, and achieved good results, especially in the hand of industry process modeling and control.
多年来，人们一直致力于模糊逻辑和神经网络结合方面的研究，并且收到了很好的效果，尤其在工业过程建模和控制方面。
The first modeling approach is artificial neural network (NN).
第一种建模方法为人工神经网络模型。
The second is a novel modeling strategy that combines an artificial neural network(ANN)as an approximator of the growth rate with prior knowledge represented by the mass balance of sucrose crystal.
第二种方法是一种新颖的建模策略，它把晶体生长率作为非线性逼近器的人工神经网络（ANN）与由蔗糖晶体质量平衡所表述的先前既定的知识相结合。
After modeling the radioactive prospecting data using neural network, there is a problem about how to achieve it in the computer.
在利用神经网络对放射性勘探数据进行建模后，面临着如何在计算机中实现的问题。
In the modeling of the structure, the wavelet probabilistic neural network was used to recognize the control chart patterns and estimate the abnormal patterns parameters.
在模型构造中，采用小波概率神经网络进行控制图的模式识别和控制图异常模式的参数估计。
In view of the shortage of current modeling tools for neural network, we put forward object oriented analysis of the network.
针对目前神经网络建模工具的不足，进行了网络的面向对象分析。
On the basis of motor current, a new method for indirect force modeling with self organizing fuzzy neural network to overcome the faults of dynameters is developed.
针对测力仪所存在的问题，利用自组织模糊神经网络，提出了基于电机电流信号的间接力学建模的新方法。
Being as a modeling theory, the Artificial Neural Network (ANN) has been widely used with a lot of special advantages, such as, performance of distribution processing and self-learning.
作为一种建模理论，神经网络具有分布式、自学习等其它方法所不具备的人工智能优势。
The nitric acid production process optimization question modeling uses the artificial neural network to complete.
硝酸生产过程优化问题的建模采用人工神经网络完成。
Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system.
前馈神经网络由于具有理论上逼近任意非线性连续映射的能力，因而非常适合于非线性系统建模及构成自适应控制。
Secondly, the prediction modeling based on BP artificial neural network for parking demand.
其次，建立基于BP神经网络的停车需求预测模型。
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.
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。
A dynamic recurrent neural network to freeway macroscopic traffic flow modeling is presented.
提出用动态回归神经网络建立高速公路宏观交通流模型。
RBF neural network provides an effective means for system identification and modeling with its advantages of smaller calculation quantity and high learning speed.
RBF神经网络以其计算量小，学习速度快，不易陷入局部极小等诸多优点为系统辨识与建模提供了一种有效的手段。
According to the feature of flexible machining, it be studied that the scheme and key technology of on-line modeling and prediction of machining error based on genetic neural network.
针对柔性加工过程的特征，研究了基于遗传神经网络的加工误差在线建模预报的方案和关键技术。
Principles of fuzzy neural network and FNN method are adopted for the numerical simulation of network modeling and forecasting of beams with finite deformation of two different materials.
本文运用模糊神经网络原理，采用学习结合型FNN方法，针对两种不同材料梁的大变形进行了网络建模和预测的数值仿真。
Abstract: : By modeling and neural network, we built the prediction system of genetic neural network.
摘要：通过神经网络的建模，建立的遗传神经网络的预测系统。
The knowledge acquisition which plays a very important part in modeling a neural network is presented.
提出知识获取是神经网络建模的关键环节。
The knowledge acquisition which plays a very important part in modeling a neural network is presented.
提出知识获取是神经网络建模的关键环节。
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