该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
讨论、比较了基于神经网络和基于时间序列的预测模型。
It discusses and compares the forecasting models using neural networks and using time series.
首先研究了基于神经网络的故障诊断模型的分类和设计步骤，并将诊断模型大体分为6类和5个设计步骤；
First, it researches the category and design process of the fault diagnosis model based on neural network. The model includes 6 categories and 5 design processes.
叙述了基于ANN函数逼近能力的母线保护原理，分析了母线保护物理对象的函数关系，构建了母线保护的人工神经网络模型。
This article indicates the principle for ANN bus protection based on function approximation ability, analyzes the functional relation of bus-bar object and builds the ANN model of bus-bar protection.
利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。
Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
采用基于灵敏度分析的BP神经网络模型作为基分类器，进一步剔除冗余基因。
BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
提出了一种基于神经网络的滑坡预报系统(HPNN)模型及基本结构，并通过实例介绍了其工作原理。
A model and general structure of network system for forecasting landslide (HPNN) are proposed, The work principle is described by means of a practical application example.
研究了一种基于投影算子的神经网络模型。
The recurrent neural network model based on projective operator is studied.
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.
为了进一步提高网络入侵检测系统的检测性能，将模糊积分理论和神经网络技术应用到网络入侵检测中，提出了基于模糊积分的多神经网络融合模型MNNF。
The model of Multiple Neural Networks by Fuzzy(MNNF) integral presented in this paper is an effective method to improve the detection performance of network intrusion detection system.
提出一种新的基于神经网络的机器人模型参考自适应控制方法。
A new robot model reference adaptive control method based on neural networks is presented.
作者所建立的基于BP神经网络的“图象识别”数学模型对数字图象处理也具有一定的参考价值。
The digital image recognition mathematic model that based on the BP networks provided a reference to the process of digital image.
针对峰值法中测量路径规划问题，提出了基于参数模型学习的神经网络预测器。
Aiming at measuring path planning by using peak value, neural network predictor based on parameter model is presented.
利用汽车发动机点火系统的故障实例验证了基于BP模型的神经网络故障诊断正向推理方法的有效性和可行性。
The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of the faults in the ignition system of automobile engine.
抗体网络作为一种新型的基于免疫原理的神经网络模型，已有的实验验证了其具有良好的无监督竞争学习能力。
The Antibody Network (ABNET), which is a new ANN based on immune principle, has been proved to have good ability of unsupervised and competitive learning in experiments.
为了实现制浆蒸煮终点的精确预测，建立了基于广义回归神经网络(GRNN)的预测模型。
A model based on general regression neural networks (GRNN) has been established to predict the end point of batch pulping cooking.
抗体网络作为一种新型的基于免疫原理的神经网络模型，已有实验验证了其具有良好的无监督竞争学习能力。
The Antibody Network (ABNET), which is a new Artificial Neural Networks (ANN) based on immune principle, has been proved to have good ability of unsupervised and competitive learning in experiments.
针对基于相似度范例检索存在的不足，将神经网络引入设计检索的研究之中，提出了基于神经网络的设计检索模型。
In allusion to insufficiency of design retrieval based on similarity, the Neural Network is introduced into design of case retrieval and a model based Neural Network is proposed.
最后对在多种工况模拟的基础上，提出了一套能在现场应用的基于神经网络模型的隧道通风控制方法，并应用于实际的隧道通风工程中。
Finally, through simulating many ventilation conditions, a new tunnel ventilation control method based on neural network model is developed, which can be used in the field tunnel ventilation project.
对一种基于模糊神经网络的故障诊断方法进行了研究，探讨了模糊神经网络诊断模型和模糊算子选择。
This paper pursues a fuzzy neural networks approach for fault diagnosis and discusses its models and the choice of the fuzzy operators.
研究了RBF神经网络故障诊断模型及学习规则，给出了基于粗糙集理论的RBF神经网络故障诊断原理和步骤。
Fault diagnosis model and learning rule of RBF ANN is studied. Fault diagnosis principle and step of RBF ANN based on rough sets theory is given.
研究了基于BP模型神经网络的故障诊断方法，它只需来自生产实际的大量样板实例或领域专家的知识训练神经网络。
The method of fault diagnosis based on BP model neural network is studied, in which enough typical fault samples or expert knowledge are needed to train the neural network.
前言： 目的：考察基于BP神经网络的中毒诊断模型的诊断效果。
Objective:To observe the effect of the diagnosis model of poisoning based on BP neural network.
采用径向基函数(RBF)神经网络方法进行能源消费量预测，建立了基于RBF神经网络的能源消费量预测模型。
Energy consumption prediction is made by the use of radial basis function (RBF) neural network method, and energy consumption prediction model based on RBF neural network is established.
该模型结合了基于热平衡的数学模型和模糊神经网络模型，再通过一个智能协调器输出结果。
The model combines a mathematical model based on heat balance and a fuzzy neural networks model, the results are sent through an intelligent coordinator.
分析了坐标测量机几何误差的几种常用模型，提出了基于神经网络的单项几何误差模型。
Several coordinate measuring machine geometry error models of several kinds in common use are analyzed in this paper.
分析了坐标测量机几何误差的几种常用模型，提出了基于神经网络的单项几何误差模型。
Several coordinate measuring machine geometry error models of several kinds in common use are analyzed in this paper.
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