神经网络理论在工程地质中的应用。
The application of neural network theory in engineering geology.
基于神经网络理论，对土壤施肥模型进行了研究。
Based on the method of artificial neural network, the soil fertilizer model is researched.
主要叙述了人工神经网络理论在磨料水射流切割技术中的应用。
This paper elaborates on the Artificial Neural Network application to the abrasive water jet cutting technology.
神经网络理论的出现是机器处理向人的思维模式迈进的又一突破。
The arising of neural network theory is a break-through from machine processing to man's thinking mode.
本文基于神经网络理论给出了一种二层前向神经网络递推匹配算法。
Based on the neural network theory, a two layers forward neural network based recursive scene matching algorithm is proposed in this paper.
本文基于人工神经网络理论，开展了常规测井资料识别评价裂缝的研究。
Based on artificial neural network theory, using routine logging data in fracture identification is studied.
本论文对人工神经网络理论及其在空间机器人系统控制中的应用作了研究。
The theory of artificial Neural Network and its application in space robot control are studied in this thesis.
本文将自适应线性神经网络理论应用于非线性负载电流中畸变电流的检测。
Adaptive linear neural network is used for detecting the distortion currents of nonlinear loads.
本文将神经网络理论用于对利用有限元分析方法得到的系统模型进行修正。
In this paper, the model of the system established by the Finite Element Method will be updated by BP Neural Network theory.
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.
应用人工神经网络理论，建立了城市大气环境质量的B - P网络评价模型。
The assessment model of atmospheric environment quality of city using B-P artificial neural network is proposed.
然后系统地分析了灰色系统理论、关联分析方法以及神经网络理论的原理、功能。
Then the author analyzes Grey System Theory, relative analysis method and the development of Artificial Neural Network.
基于神经网络理论中能量函数的概念，提出了一种自适应IIR滤波器的设计方法。
A design method of adaptive IIR filtering based on the energy function of neural network is presented.
人工神经网络理论的出现为人们研究巷道围岩稳定性分类提供了一种新的理论方法。
The artificial neural network provides us a new theoretical method on the stability classification of roadway surrounding rock.
接着，作者对神经网络理论中的标准反向传播算法BP作了改进并提出了IBP算法。
Next, an Improved Back Propagation(IBP)algorithm is proposed, considering the drawbacks of the standard Back Propagation (BP) in the neural network theory.
结合神经网络理论与变结构控制理论，提出一种基于神经网络的变结构滑模控制方案。
To combine neural network theory with varying structure control theory, a neural-network-based varying structure sliding mode control scheme is presented.
对如何借助人工神经网络理论在线实施利用改构提高电力系统暂态稳定水平进行了研究。
An artificial neural nets based on-line implementation to enhance power system transient stability by reconstruction is studied.
将免疫算法与神经网络理论相结合，提出了免疫神经网络预报模型，以预报油库油气浓度。
A immune algorithm neural network model for predicting oil gas is presented by means of combining immune algorithm with neural network theory.
在研究中，利用BP神经网络理论，提出并建立了按色相角范围对实验数据分类的打印机标定模型。
In the research, based on BP neural network theory, a printer calibration model is provided according to sorting experiment data by hue Angle range.
根据隐含语义索引（LSI）理论和动态自组织映射神经网络理论，提出了一种文本聚类的新方法。
This paper presents a new method of text clustering by using the latent semantic index (LSI) and self-organizing neural network (SNN).
为了提高乳腺癌早期诊断的准确率，将小波理论与神经网络理论相结合提出改进的小波神经网络算法。
To improve early diagnosis accuracy of breast cancer, an improved wavelet neural network algorithm combining wavelet theory with neural network theory was proposed.
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.
提出了基于神经网络理论的综合安全评价模型及实现方法，并以电气安全评价实例论证了此方法的可行性。
Integrated electrical safety assessment model and its merits based on BP neural network have been put forward. The assessment example proves that the way is workable and right.
考虑到线性模型的一些缺点，本文随后应用神经网络理论，分别建立感知器预警模型和BP网络预警模型。
Because liner models have some defects, I construct perceptron model and BP model on base of neural networks theory.
将神经网络理论用于多光谱辐射测温领域，实验结果表明，该方法是解决目标真温测量行之有效的一种新方。
The experimental results show that the above mentioned method is an effective method for solving the true temperature measurement.
建立汽车发动机这样非线性系统的数学模型非常困难，人工神经网络理论为非线性系统的辨识提供了新的方法。
Mathematical model establishment in nonlinear system such as automobile engine is still very hard. Artificial neural network theory brings to us a new method in nonlinear system identification.
针对分区间检测法临界点处的跳跃问题，利用模糊神经网络理论进行了探讨，基本解决了临界点处的跳跃问题。
To overcome the problem of the angle's jumping on some critical points, the paper discussed it by using fuzzy neural network theory and solved it basically.
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。
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.
针对拉萨市道路交通噪声污染问题，运用人工神经网络理论和方法对拉萨市道路交通噪声的等效连续声级进行预测。
Aiming at the traffic noise problem of Lhasa, the author USES artificial neural network theory and method to predict the equivalent consecutive sound level of traffic noise in Lhasa.
针对拉萨市道路交通噪声污染问题，运用人工神经网络理论和方法对拉萨市道路交通噪声的等效连续声级进行预测。
Aiming at the traffic noise problem of Lhasa, the author USES artificial neural network theory and method to predict the equivalent consecutive sound level of traffic noise in Lhasa.
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