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neural network相关的网络例句

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与 neural network 相关的网络例句 [注:此内容来源于网络,仅供参考]

The CCIM is used to evolve the structure and parameters of neural network. The proposed CCIN model has been implemented based on the actual data collected from the Eastern Slovakian Electricity Corporation and compared with the traditional RBF network method.

对斯洛伐克东部电力公司进行的电力系统短期负荷预测表明,与传统的径向基函数神经网络预测方法相比,协同进化免疫网络方法具有更高的预测精度。

In this paper, a large number of simulations have been done based on the two different networks. Simulations show that the transformer fault diagnosis system based on the probability neural network is better than BP network system in the speed, accuracy and the ability for samples superaddition.

本文对基于不同网络模型的两个系统进行了大量仿真,仿真结果表明基于概率神经网络的变压器故障诊断系统在速度、正确率以及追加样本能力等各方面的能力都要优于BP网络系统。

For speeding up BP algorithm of learning of neural network, a BP algorithm based on the Taylor's series of the error function is studied, the method is effective in speeding up BP network training.

1在本文中,针对加速神经网络学习的BP算法进行研究,给出了基于目标函数的Taylor展开的BP算法。它对加快神经元网络学习速度效果明显。

In the computer vision analysis system of wood across compression,early wood cell,latewood cell,wood ray cell and resin canal cell were recognized and classified automatically byusing neural network technology,applying the function of network recognition and the learningfunction of self-organizing and self-adapting,and wood tectonics feature were taken down byinstructed-learning or uninstructed-learning.

在木材横纹压缩计算机视觉分析系统中,采用了人工神经元网络技术,并运用人工神经元网络的网络识别功能和自组织、自适应的学习功能,通过有导师或无导师学习来记忆所学习过的木材构造学特征,实现了对针叶材管胞中的早晚材细胞、木射线细胞和树脂道细胞进行自动地识别与分类。

Firstly, soil aspect, the non- balanced time series model for forecasting soil aquiferous capacity is built up by stochastic theory, and the BP network model is set up by MATLAB artificial neural network tool, the forecasting result is very good.

第一,关于土壤方面,利用随机理论建立了预测土壤含水量的非平稳时序模型,同时运用MATLAB人工神经网络工具箱建立了土壤含水量预测的BP网络模型,取得了较为满意的效果。

In this paper, the sorting of wear, the mechanics of wear particle formed and the characteristics of wear particles are introduced, and morphology characteristics parameter of wear particle are determined, which is particle brim digital feature. Based on image characters, after pre-process, section and extracting of contour parameter of wear particle using image process technique, four shape character parameters are extracted by fourier series expansion. After analyzing fundamental principle and shortcomings of neural network, current BP algorithm is improved in output optimization, network linearization implication optimization and adding momentum, and then astringe speed of BP algorithm.

本文介绍了磨损的分类以及磨粒的生成机理、磨粒的形态特征,应用摩擦学系统分析的观点,确定磨粒边缘数字特征为磨粒的识别特征参数;根据磨粒图像的特征,利用计算机图像处理技术对磨粒图像进行预处理、分割、轮廓参数的提取,采用傅立叶级数展开式提取磨粒四个形状特征参数:圆形度、散射度、凹度、细长度;针对 BP(Back-Propagation)神经网络收敛速度慢的特点,对现行的 BP 算法进行改进,并通过实验验证改进后的网络收敛速度快;研究设计了磨粒图像采集系统;利用 BP 算法建立磨损磨粒自动识别算法模型 AWPRM(Auto Wear Particle Recognition Model)。

On the aspect of intelligent control, fuzzy neurons network technology which integrating artificial neural network and fuzzy logic organically has strong ability of studying, adapting, fault-toleranting and disposing indeterminate information, it can execute autonomically the process of"ratiocination— dicision", this kind of method is the important development direction of lighting intelligent control in the future.

在智能控制方面,把人工神经网络和模糊逻辑有机地结合起来的模糊神经网络技术具有很强的学习、适应、容错能力和处理不确定信息能力,能够自主完成&推理——决策&的过程,这种智能控制手段是未来照明的智能控制领域的一个重要发展方向。

This paper discusses the structure and algorithm of dynamic neural network, and use this dynamic network to predict the response of Duffing equation and a real structure in different input conditions.

讨论了动态神经网络结构及其算法,然后利用所设计的动态神经网络对杜芬方程和一实际结构在不同输入条件下的响应进行预测。

In this paper,a new NN former has been used to combine the blur reasoning system with the eradiate function neural network.The network model can be used to export the distributing area of deposits and average high of collapsed building with forming ...

本文作者结合模糊推理系统和辐射基函数网络,提出了建立多层前向神经网络模型,来输出倒塌房屋堆积物分布范围及平均高度的模糊预测系统。

A model for predicating friction coefficient of resin-based friction materials based on artificial neural network was established to forecast its friction performance,and the ANN network model was trained by using 30 kinds of frication material's data of friction coefficient,and then fitted.

为了预测不同成分的树脂基摩擦材料的摩擦性能,建立了摩擦材料成分与摩擦因数之间的人工神经网络预测模型。

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The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应,而且减少跟风的可能性。

The new PS20 solar power tower collected sunlight through mirrors known as "heliostats" to produce steam that is converted into electricity by a turbine in Sanlucar la Mayor, Spain, Wednesday.

聚光:照片上是建在西班牙桑路卡拉马尤城的一座新型PS20塔式太阳能电站。被称为&日光反射装置&的镜子将太阳光反射到主塔,然后用聚集的热量产生蒸汽进而通过涡轮机转化为电力