An artificial neural network theory for the control of wind power systems is proposed.
提出一种用于风力发电控制系统的人工神经网络。
Based on artificial neural network theory, using routine logging data in fracture identification is studied.
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。
Aim at data inspection and mode identification of atmospheric environment, B-P network evaluation mode was established by the application of artificial neural network theory.
针对大气环境中的数据监测与模式识别问题，应用人工神经网络理论，在自然环境大气腐蚀试验网站建立大气环境质量B - P网络评价模型。
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。
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.
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。
Applying the artificial neural network theory, setting the factors of tectonics and seismicity as the main characters, the Hainan island potential earthquake sources are quantitatively identified.
本文应用人工神经网络原理，以地震构造和地震活动性为主要特征，对我国海南岛进行了潜在震源区的定量划分。
The central content of this thesis includes identifying and revising the critical rotate speed-dynamic parameters of rotor-bearing system by the artificial neural network theory and harmonic wavelet.
本论文的核心内容是：应用谐波小波和人工神经网络理论对转子轴承系统动力参数——临界转速进行识别与修正。
Based on the theory of Artificial Neural Network (ANN), an approach to simulate signal propagation delay, carrier phase, power, and other parameters using ANN is proposed.
基于人工神经网络(ANN)理论，提出一种利用ANN来模拟信号传播延迟、载波相位、信号功率等参量的方法。
The theory of artificial Neural Network and its application in space robot control are studied in this thesis.
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。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, this paper proposes a new approach to the dynamic detecting harmonics.
基于自适应噪声对消技术及人工神经网络(ANN)理论，提出了一种谐波电流动态检测方法。
During the use of the artificial neural network some nodes were deleted to optimize the network based on the correlation analytical theory.
在应用人工神经网络时，采用基于相关分析法的节点删除法来优化网络结构提高网络性能。
According to the theory of Artificial Neural Network and Expert system, a design conceit fault diagnosis and dealing system of substation based on Neural Network and Expert system is presented.
根据人工神经网络和专家系统理论，提出了基于人工神经网络和专家系统的变电站故障诊断和处理系统的设计构想。
The article analyses original methods of DGA fault diagnose, include three-ratio method, artificial neural network method, Fuzzy Theory, diagnosing expert system, grey relational algorithm, et.
本文分析了原有的DGA故障诊断方法，包括三比值法、人工神经网络法、模糊理论、变压器诊断专家系统、灰色关联算法等。
This paper surveys the application of classical optimization theory, artificial intelligent and neural network to FMS's control.
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。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, an approach for harmonics detection and analysis is presented.
基于自适应噪声抵消方法和人工神经网络(ANN)理论，提出一种谐波电流检测分析方法。
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。
Based on theory model, the authors set up the control model of converter steelmaking, adopting artificial neural network model.
以理论模型为基础，建立了转炉炼钢控制模型，并将人工神经网络模型应用到转炉控制中。
The paper studies complex electric equipment fault diagnosis based on the theory and method of fault diagnosis by applying the theory of artificial intelligent, fuzzy theory and neural network.
以故障诊断的理论和方法为基础，综合运用人工智能、模糊理论和神经网络理论，对复杂电子装备的故障诊断问题进行了研究。
Based on the model parameter identification theory in inverse problem, a neural network model for constitutive law of clay under multiple stress paths is set up through artificial neural network.
基于反问题中的模型参数辩识理论，通过人工神经网络，建立了考虑应力路径影响的粘土的神经网络本构模型。
The characteristics of Rough set theory and Artificial Neural Network are very bright and obviously complementary.
粗糙集理论和人工神经网络技术的特点都很鲜明并且有着较为明显的互补性。
Through the research of this paper it shows that artificial neural network (ANN) theory application in commodity housing price is not only feasible but also reliable and practical.
通过本文的研究表明，将人工神经网络延伸应用于商品住宅价格的预测具有一定的可行性、可靠性及实用性。
Based on the analysis of pilot behavior character a nd control mode, the predictive control ANN (artificial neural network) model is established according to the theory of prediction-following.
在分析驾驶员行为特性和行为操纵的基础上，根据预测跟随理论，建立了驾驶员预测控制神经网络（ANN）模型；
The non-equilibrium thermodynamic theory of artificial neural networks is introduced in this paper. The concepts of entropy production rate, network stability condition and its applications are given.
建立了神经网络的非平衡态热力学理论，给出了神经网络熵产生率，稳定条件及应用实例。
In this paper, the theory and method of fault diagnosis expert system based on artificial neural network are studied, and its realizing process is concretely introduced.
研究了基于神经网络的故障诊断专家系统的理论和方法及具体实现过程。
Based on the theory of BP artificial neural network (BP-ANN), the model for grade of farming land and accuracy measurement were designed.
基于BP人工神经网络(BP -ANN)原理，针对农用地分等的问题，设计了BP神经网络农用地分等模型和精度检测方法。
On the basis of many research, a modified artificial neural network algorithm based on fuzzy theory is proposed to improve the forecasting precision of flood peak.
在大量研究的基础上，提出了基于模糊理论的神经网络改进算法，用来提高对洪峰的预报精度。
To aim directly at the existing deficiency of traditional prediction method of pavement performance, the prediction model based on the theory of artificial neural network is developed.
针对传统的路面使用性能预测方法存在的不足，应用人工神经网络理论，建立预估模型。
Then the author analyzes Grey System Theory, relative analysis method and the development of Artificial Neural Network.
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。
The least square theory-based static linear decoupling method is studied, and a new static decoupling method based on BP artificial neural network is proposed.
在研究基于最小二乘理论的多维力传感器静态线性解耦方法的同时，提出了一种基于BP神经网络的静态非线性解耦方法。
On the basis of nonlinear theory, an artificial neural network system is established in this paper. In the system, many geologic variables are considered comprehensively.
本文根据非线性理论，综合考虑各种地质因素并由此建立了一个神经网络系统。
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