英语翻译基于BP网络的人脸朝向识别模型Face orientation recognition based on BP neural network 摘 要:\x05本文基于BP 神经网络建立数学模型解决人脸朝向识别这一重要问题.通过对图片压缩、标准化处理

英语翻译基于BP网络的人脸朝向识别模型Face orientation recognition based on BP neural network 摘 要:\x05本文基于BP 神经网络建立数学模型解决人脸朝向识别这一重要问题.通过对图片压缩、标准化处理
英语翻译
基于BP网络的人脸朝向识别模型Face orientation recognition based on BP neural network
摘 要:\x05本文基于BP 神经网络建立数学模型解决人脸朝向识别这一重要问题.通过对图片压缩、标准化处理等步骤,建立了一个全新的BP神经网络.并用MATLAB对50张图片进行了实验,实验结果表明,该方法识别准确率高、识别过程速度快.最后,我们就训练样本数目的确定与更有效识别方法的探索两个方面对模型提出了改进.
\x05关键词:\x05BP神经网络；人脸朝向识别
Abstract：We build a mathematical model to solve the important problem of face orientation recognition based on BP neural network.Building a new BP neural network via compression and standardization handle process to picture and so on.The recognition using Matlab software and 50 pieces of picture is simulated,The experiments show that this system has a high rate of accuracy,quick speed of recognition.At last,we have made improvements of the model in terms of certainty of the amount of training samples and exploring better identification method.
Key words：BP neural networks；Face orientation recognition

英语翻译基于BP网络的人脸朝向识别模型Face orientation recognition based on BP neural network 摘 要:\x05本文基于BP 神经网络建立数学模型解决人脸朝向识别这一重要问题.通过对图片压缩、标准化处理
基于BP网络的人脸朝向识别模型Face orientation recognition based on BP neural network
摘 要:本文基于BP 神经网络建立数学模型解决人脸朝向识别这一重要问题.通过对图片压缩、标准化处理等步骤,建立了一个全新的BP神经网络.并用MATLAB对50张图片进行了实验,实验结果表明,该方法识别准确率高、识别过程速度快.最后,我们就训练样本数目的确定与更有效识别方法的探索两个方面对模型提出了改进.
关键词:BP神经网络；人脸朝向识别
Abstract：(此处冒号要在英文状态下输入,且与后一个词需要空一格) We(论文要严谨,诸如 me , I , we , our这些主观词要少用,因此此处改为This paper is to related to building) a mathematical model to solve the important problem of face orientation recognition based on BP neural network. Building a new BP neural network via compression and standardization handle(此句中主语为单数,所以handles) process to picture and so on（so on用此处依据语法不当,改为something related） The recognition using Matlab software and 50 pieces of picture is simulated,The experiments show that this system has a high rate of accuracy,(and) quick speed of recognition. At last, we(该句子可改为被动句为佳) have made improvements of the model in terms of certainty of the amount of training samples and （exploring better identification method）（该短语与谁并列呢?!）.
Key words：（冒号同上）BP neural networks；（分号同冒号一样）Face orientation recognition （重要单词首字母要大写,都大写,要么都小写即可）