查询词典 neural network

On the basis of studying recognition method for image of electret condenser microphone, this paper presents an improved BP learning algorithm for recognizing the image features using neural network, and the method for adjusting momentum vector and learning rate is discussed.

在研究对驻极体麦克图像识别方法的基础上，本文提出了一种用改进的BP神经网络进行图像特征的识别和学习算法，并给出了动量系数和学习率的调整方法。

This dissertation also conducts practicable research on the pattern recognition problem of a certain kind of image , and proposes"image recognizing algorithms based on associative memory neural network".

针对一类已知图形的模式识别问题进行了实用化的研究，提出了"基于联想记忆神经网络的图象识别算法"。

IMHO, the neural network most suitable for this purpose.

恕我直言，神经网络的最适合作此用途。

To address the defects of slow convergence and easy immergence in the partial minimum in the learning process of Back Propagation Neural Network CNN, a Levenberg-Marquardt algorithm was presented.

针对BP神经网络学习过程收鼓速度慢及易陷入局部极小值的缺陷，研究了levenberg-marquart算法。

To impel the reviving and developing of the neural network, the works of J.

为促使人工神经网络的复兴与发展，美国物理学家J.J。

In the thesis, Artificial Neural Network has been used to study the sample data of Pneumoconiosis, the quantitative model to show the relation between the incidence of Pneumoconiosis and three factors is built and tested by the practical data.

针对常规方法的不足，把神经网络技术用于尘肺发病规律的研究，建立了尘肺发病率与三因素间的实用化定量关系模型，并对三因素在尘肺发病中的贡献进行了研究，推导出相应的重要度公式；开发了"粉尘危害程度预测及动态仿真系统"软件，用于对尘肺发病规律的研究和预测。

In order to eliminate the impact of sensor in LWD due to temperature, humidity and other non-target impact parameters, to improve the accuracy and stability of LED, in this paper we use the Elman neural network, using LM algorithm to train it, then we describe its application in LWD inclinometer sensor compensation.

为消除随钻测斜仪中的传感器由于受温度、湿度等非目标参量影响，提高随钻测斜仪的测量精度和工作稳定性，本文采用Elman神经网络，用LM算法对其进行训练，并将其应用到随钻测斜仪的传感器补偿中。

To better tackle these problems, the design of the rough neural network based on variable precision rough set model, in which the majority inclusion relation is used, is studied.

为更好地解决这些问题，研究了基于"多数包含关系"的变精度粗糙集模型下的粗集神经网络设计。

In the method, a three-layer feedforward neural network structure incompletely connected was employed.

本文提出了一种新的、性能更加稳定的动态心电数据的神经网络压缩算法。

But there are still some problems being open such as selection of neural network, determination of structural damage indicator and incompletion of measurement.

但如何改变实验数据不完备、如何选取结构损伤标识量、如何选定合适的神经网络类别等问题没有得到很好的解决。

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。