查询词典 neural network

At chart four, it has analytically discussed some of the problems that lie in BP Neural Network.

第四章分析讨论了BP神经网络存在的问题。

The basic theory and method of neural network are introduced for processing and analyzing the data.

文章对神经网络的基本理论和方法进行了初步的介绍。

The results show that the neural network model has higher simulation precision for roll angle, yaw angular velocity and lateral acceleration and can better display the handling stability of the bus.

结果表明，所建立模型对车身侧倾角，横摆角速度和侧向加速度都具有较高的仿真精度，能较好地表征该客车的操纵稳定性。

The building rules of GLCM （ the best gray levels and pixels interval） were confirmed by experiment. GLCM texture parameters of 300 wood specimens were calculated and assayed, and then placed into a Competitive Neural Network for classification output. The results are as follows: 1） GLCM parameters Angular Second Moment contrast , correlation , entr

以"角二阶矩"、"对比度"、"相关"、"熵"、"方差"、"逆差矩"作为描述木材纹理的特征参数是合适的。2）在比例为1：1的512×512木材图像情况下，生成灰度共生矩阵的最佳像素间距为4，最佳图像灰度级数为128.3）木材纹理图像灰度共生矩阵的"角二阶矩"、"相关"和"熵"值最大的方向为纹理方向。4）竞争神经网络的分类正确率为88％。

The theory and method of neural network,and the feasibility and superiority of building the coal bed geological model are also discussed by considering the geological variable characteristics,such as space territory,continuity,anisotropism and great non-liner relation.

摘 要：分析了建立矿床地质模型传统的估值方法的不足，针对地质变量之间具有空间局域性、连续性和各向异性，以及高度非线性关系的特征，阐述了应用人工神经网络原理和方法建立矿床地质模型的可能性和优越性，建立了地质变量参数估值计算的神经网络模型的基本结构，描述了地质变量与其影响因素之间的非线性映射关系，从而提出了基于人工神经网络原理的地质模型估值方法。

Moreover, aiming at the complex geological characteristics such as the heterogeneity and anisotropism, etc. of low-resistivity oil/gas reservoirs, the statistics model method and artificial neural network model method are introduced in the low resistivity oil/gas reservoir interpretation and evaluation for the first time.

另外，针对各种低电阻率油气储集层的非均质性和各向异性等复杂地质特征，第一次把统计模型方法和人工神经网络模型方法引入到了低电阻率油气储集层解释与评价之中，并建立起了一套相应的测井解释与评价方法。

Simulated annealing, the neural network a good information !!!!!!!!!

模拟退火法，神经网络的好资料！！！！！！！！！

The other aspect of DIDAPPER's apperception ability comes from the neural network algorithm.

DIDAPPER系统的认知能力的另一个方面是神经网络的模式识别方法。

Based on artificial neural network approximation error BP algorithm.

详细说明：基于人工神经网络BP算法的误差逼近。

The disadvantages of this method are analyzed. Based on the analyses, an improved training method for the self-organizing map neural network is proposed to reduce the approximation error.

在此基础上，进一步研究该方法的逼近性能，分析其两个不足之处，进而提出一种提高逼近性能的改进神经网络训练策略。

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。