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- A variable architecture ANN model with B P algorithm is introduced to the learning machine of the expert system. 在参数修正自学习模型中，引入了变结构的参数修正人工神经网络模型，采用B?P学习算法及后验学习方式，实现了故障诊断专家系统参数修正学习机设计。
- The ANN model structure was 4-14-1,4 input notes,14 hidden notes and 1 output note. 建立的高血压病神经网络模型结构为4-14-1(即有4个输入、14个隐含节点和1个输出);训练精度为0.;005;训练了46步达到目的;最终误差为0
- Based on the artificial neural network (ANN), an ANN model for the abrasive water jet cutting process was proposed. 本文基于人工神经网络理论，建立了水射流加工过程的神经网络模型。
- Optimal controller generates the suited PWM waveform using the input and output of ANN model. 最优控制器根据神经网络模型的输入、出响应产生合适的PWM波形。
- The optimum operating conditions determined from the identified ANN model were applied precisely. 以此鑑别之代表性模式可以正确地提供系统之最适操作条件。
- ANN model was used to analyze time series and BootStrap method was used to improve the precision of prediction. 该方法采用神经网络技术建立时序数据预报模型，并通过重抽样技术提高预报精度。
- A modified ANN model is proposed and developed by using the output of the total runoff linear response (TLR) model as the model input. 针对由此带来的问题，通过耦合总径流线性响应模型，建立一种基于人工神经网络的实时预报模型。
- By aiming at the bottle neck problem of autoknowledge acquisition, the paper introduces the ANN model to the study of fault diagnosis expert system. 对冷挤压工艺设计专家系统构建过程中涉及的领域知识表示方面的问题进行了研究。
- At the same time, the research of ANN model of the fire disaster in MOND Method and explosion dangerous degree classification was done. 本文同时进行了蒙德法中火灾、爆炸危险度分级的神经网络模型的研究。
- The sum of forecast values of the ANN model and the ARMA model is considered as the optimal forecast value of future product consumption. 将两个模型的预测值之和作为产品需求量的优化预测值。
- The backpropagation ANN model with one hidden layer is employed and there are 48, 25, and 3 nodes in the input, hidden and output layers, respectively. 本研究构建的神经网路输入端有48个节点，隐藏层有25个节点，输出端则使用三个节点表示欲辨识的各类车种，并以倒传递网路的学习过程训练网路。
- The paper analyzes the storage life profile of typical military equipment,and presents an ANN model being used to study storage reliability of military equipment. 分析了典型装备的贮存寿命剖面，提出了一种用于研究装备不工作状态可靠性的人工神经网络模型。
- After trained and tested with the specimens, the ANN model can be used to predict the dimensions (diameter and thickness) of any location on the parison within a given range. 经过样本训练和检验后,模型能在一定范围内预测型坯任意位置上的尺寸(直径和厚度);
- It is the continuity work on predicting parison dimensions in extrusion blow molding by means of the artificial neural network (ANN) method, and established a new ANN model. 延续了本课题组在挤出吹塑中利用人工神经网络(ANN)预测型坯尺寸的工作,建立一个新的ANN模型。
- To solve this problem, a new method for establishing ANN model is presented based on AHP (Analytic Hierarchy Process) and the sieving of important index. 该法不仅简化网络模型,而且提高网络的性能和计算精度。
- Applying ANN models to HY-1A CCD data, the results appears reasonable except for highly turbid areas. 针对HY-1A CCD数据的处理试验表明，除了在非常浑浊的水体，反演结果基本合理。
- Study in Soybean Yield Forecast Application Based on Hopfield ANN Model WANG Li-shu QI Guo-qiang WANG Ke-fei Using the artificial nerve network's knowledge, establish the estimate's mathematics model of th. 通过运用人工神经网络的知识,建立了大豆产量预测的数学模型,可以提高预测大豆产量的精确性。
- On the basis of this, a method for rapid determining roughcast allowances and tolerance based upon ANN is presented, ANN model is set up, and unitary processing about input factors is finish... 通过实例分析和仿真实验证明,选择合理的网络结构和样本参数就可以快速确定铸件机械加工余量和尺寸公差。
- Compare to other ANN modeling, the neuron number of the CNN hidden layer is few, and the ability of generalization of the CNN system is well. 与其它的ANN建模相比较,用CNN建立的模型的隐层神经元数量少,系统的泛化能力强。
- 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. 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。
