查询词典 BP

BP neural networks have been widely used in mode recognizing, image processing, system control etc A lot of study has been done on the training algorithm of BP neural networks But there are still many short comings To complete the training of the weights of a BP neural network, the key problem is how to overcome the staying at the local minimum points as well as how to increase the training speed based on this condition This paper comes up w...

BP神经网络被广泛应用于分类模式识别、图像处理和系统控制等领域人们对BP网络算法进行了许多的研究，但尚有其不足之处为完成其权的训练，问题的关键在于如何避免陷入局部极小及在此前题下如何提高学习速度为此，就如何选取学习率η和动量矩α提出了改进方案，并应用于数字识别，得到了较为满意的结果

To solve the problem of the slowness of convergence in the learning process of BP network,this paper integrates the idea of Gauss Seidel algorithms into BP algorithms and makes use of the newly corrected weight while correcting next weight.

为了解决BP网络在学习过程中存在收敛慢的缺点，文中将GaussSeidel 迭代法的基本思想与BP算法结合，将每一个最新修正的权值反映到下一个权值的修正中，提出了一种新的BPGS学习算法来加速BP网络的收敛。

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。

There was a 73 bp untranslated region at the 5′end, and a 234 bp untranslated region and 14 bp Poly at the 3′end.

在5′端有73 bp的非编码区，在3′端含有234 bp的非编码区和Poly 14bp。

BP neural network based on adaptive UKF is introduced in this paper for the standard BP neural network has slow converges,local minimum value and weak generalization ability.It can train weight of BP and improve the efficiency of BP without linearization by using the frame of Kalman filters and adaptive factor to adjust the variance of dynamic model.

1引言1986年，Rum elhart和M cC lelland等人在多层前向神经网络模型的基础上，提出了误差反向传播学习算法(BackPropagation简写BP)，该算法是目前在神经网络中应用最广泛的算法，它解决了多层前向神经网络的学习问题[1]。

Assisted by DNA2.0 and Gene2Oliga software, we optimized the codon usage and secondary structure of RNA and induced enzyme sites Cla I (237 site) and Pst I (475 site) into the gene. In the first step, fragments F1 (237 bp), F2 (238 bp) and F3 (422 bp) were separately synthesized by assembly PCR. In the second step, fragments F1, F2 and F3 were separately digested by Cla I and Pst I, and then ligated into a full length lipA gene.

首先在DNA2.0和Gene2Oliga软件辅助下对lipA基因密码子及RNA二级结构进行优化并引入Cla I(237位)和Pst I(475位)酶切位点；通过组装PCR分别合成lipA基因的各片段F1(237 bp)、F2(238 bp)和F3(422 bp)；通过该基因内的Cla I和Pst I限制性酶切位点连接成完整的全长lipA基因。

The model was based on genetic tabu algorithm of global search and BP global network of local search precision features, combined genetic tabu algorithm and BP algorithm, and used genetic tabu algorithm initial weights of BP network, at the same time,used niching technology to improve genetic tabu algorithm.

该模型基于遗传禁忌算法的全局搜索和BP网络局部精确搜索的特性，将遗传禁忌算法和BP算法有机结合，利用遗传禁忌算法优化BP网络初始权重，同时引入小生境技术改进遗传禁忌算法。

In BP exposure experiment, except that the neutral red assay showed that BP significantly inhibited the haemocyte viability, the other methods did not detect the inhibition effect, besides, the results of the neutral red assay showed that the inhibition degree had a positive correlation with the concentration and exposure time of BP.

采用中性红比色法检测BP对栉孔扇贝血细胞活性具有显著抑制作用，且抑制程度与BP作用浓度、时间呈正相关，其余方法均未检测出BP对血细胞活性的影响。

The sizes of two introns of Gal-1, Gal-2 and Gal-3 genes were 482 and 496 bp, 183 and 675 bp, 980 and 1280 bp, respectively.

扩增到的鸡β-防御素 Gal-1 、 Gal-2 和 Gal-3 基因的两个内含子长度，分别为 482 和 496 bp ， 183 和 675 bp ， 980 和 1280 bp 。

The main contents are as follows:Firstly, starting with the general situation of soil erosion and the harms caused by it, the causes leading to the local soil erosion problem are analyzed comprehensively in the paper. And connecting with the measures taking place, sticking points towards the career of soil and water conservation are expatiated upon.Secondly, Back-Propagation Neural Network, One of Artificial Neural Network is used to set up a modal about the connection of the soil erosion modulus and seven factors impacts on it, such as, rainfall, rainfall largest intensity in 30 minutes, runoff coefficient, vegetation cover percent, rate of granule, rate of physical viscidity-clay, the rate of organic matter. Through the comparison with linear regression model, the second regression model, the Chinese Soil Loss Equation, it illustrated that BP Neural Network modal is more accurate than the other three modals in forecasting the mount of soil erosion, and the BP Neural Network will have some applicability in forecasting in soil erosion.

本文以霍山县作为皖西大别山区的典型区域，主要研究了以下内容：(1)从介绍霍山县土壤侵蚀状况以及所造成的危害入手，全面分析了导致当地土壤侵蚀发生的原因，并结合当地采取的水土保持相关措施，阐述了当地水土保持工作的症结所在；(2)结合上土市水土保持试验站多年实测资料和2005年实验资料，应用BP神经网络理论，建立了次降雨土壤侵蚀量与次降雨量、最大30min雨强、径流系数、植被覆盖度等因子之间关系的模型，并通过BP神经网络的预测模型与一次回归模型、二次回归模型、CSLE模型之间的对比分析，说明了建立的BP神经网络模型在土壤侵蚀预测可以取得较回归模型和CSLE模型更高的精度，也说明了BP神经网络理论在土壤侵蚀预报中具有一定的适用性。

Finally, according to market conditions and market products this article paper analyzes the trends in the development of camera technology, and designs a color night vision camera.

最后根据市场情况和市面上产品的情况分析了摄像机技术的发展趋势，并设计了一款彩色夜视摄像机。

Only person height weeds and the fierce looks stone idles were there.

只有半人深的荒草和龇牙咧嘴的神像。