神经网络

On the basis of analysis of existing problems in application of common comprehensive optimization models, the characteristics of optimization are combined with the principle of Artificial Neural Network organically. The ANN analysis situs structure is established and the learning algorism for the ANN is designed. The methods of generating training samples and alternative optimization are put forward.

在分析水利水电工程常用综合优选模型应用中存在问题的基础上，将综合优选问题的特点和人工神经网络原理有机结合，建立了方案综合优选的人工神经网络拓扑结构；设计了相应的网络学习算法；提出了生成训练样本和方案优选方法。

In the end, wavelet neural network after being trained is used to approximation of function to performance good

本文提出的遗传算法利用分级染色体对小波神经网络的结构和权值进行编码，遗传算法联合进化规则来构建和训练小波神经网络，同时对网络进行进化。

We firstly summarize the NN system modeling methods and the popular optimization algorithms, and point out the deficiencies, the limitation of noise cancellation modeling and the need of human intelligence participation, in our former optimization work after analysis. An abstract problem is extracted. It is to find out control variant that makes system output optimized using the data comprising a sample set with N x samples and their corresponding y, and it does not explore given system and achieves full automatic computation procedure. Next we propose a multi-variant controlled system optimization method utilizing CASSANDRA-I small type neural computer and program its application software. Moreover systematic experiments are made to demonstrate the method's validity, ability of noisy samples disposal and practical application.

我们总结了神经网络系统建模方法以及得到广泛采用的优化算法，并分析指出我们前阶段的优化工作中存在的去噪声建模有局限性和计算过程需人干预的不足，在此基础上把问题抽象为：已从系统获得含N个控制量样本的样本集S以及每个样本对应的系统输出，如何依据这些数据求出一个使系统输出y得到优化的控制量x，而不研究具体系统，实现不需要人智能参与自动完成的计算过程；提出应用人工神经网络硬件系统——CASSANDRA-I小型神经计算机的多变量控制系统优化方法，设计完成了其应用软件；并进行系统的实验工作，验证算法的有效性以及此方法处理带噪声样本和实际应用能力。

By analysis of ANN,the model of BP neural network is built for soil compactness quantitative analysis.

文章通过对人工神经网络的分析，建立了瞬态振动法测定土密实度的神经网络模型，网络的学习算法采用改进的BP算法。

Based on the priori knowledge of a point scattering - hyperbolic feature of subsurface objects in GPR B-Scan images, a method of ROI extraction with Neural Network is presented.

在分析了均匀介质中的目标回波特征一双曲线形态的产生机理和基本特征的基础上，提出了一种利用神经网络进行ROI提取的方案，根据GPR数据解译的特点，本文设计了相应的B-Scan图像预处理方法和神经网络结构、训练及测试方法，使用塑料管及其他目标的B-Scan实测数据对神经网络进行训练与测试。

The first part is the introduction, which generally introduces the research purpose and significance of this thesis, the summary of the financial pre-warning researches both home and abroad, and the research main contexts and research methods; The second part is the comparison on the financial pre-warning methods existent, which compares the different methods by categories, makes a further analysis on the limits of existent methods, and proposes the improve thoughts of this research based on that; The third part is the basic theory, which makes a summary of the referent theories exerted on the research, and exposit the comparing mechanism of the grey prediction theory and the artificial neural network method concise; The fourth part is the frame work of the model, which illuminates the research designs step by step, such as the definition of the financial crisis, the method of sample select, the select and definition of the pre-warning variables, and makes an exposition of the establishment procedures of the whole models at last; The fifth part is the financial pre-warning based on the theory of grey prediction and artificial neural network, which mainly demonstrate the model establishment in the concrete, dividing into four part to carry out the part of pragmatic research integrally, building of indexes system, establishment of BP neural networks, dynamic financial pre-warning and test, analysis on the pre-warning result; The sixth part is conclusion, which sums up the main results of the whole research, clarifies the innovative points, and makes a discussion on the limits and future study directions of the research in this thesis.

其中，第一部分为导论，总括性概述本文的研究目的与意义，国内外研究综述，以及本文的研究内容和方法；第二部分为现有财务预警研究方法剖析，通过对现有预警方法进行分类比较，进一步分析现有预警方法的局限性，并在此基础上提出本文研究的改进思路；第三部分基本理论，对本文研究中运用的相关理论进行扼要概述，并简要阐述灰色预测理论与人工神经方法的融合机理；第四部分为模型研究框架，逐步阐释模型对财务困境的界定，样本数据的选取方法，预警变量的选取与定义等各个部分的研究设计，并对整体模型的构建步骤进行简要阐述；第五部分为基于灰色神经网络模型的财务预警，主要论述动态预警模型的具体实现过程，分模型指标体系的建立，BP神经网络的建立，动态财务预警与检验，以及预警结果分析四个部分全面阐述本文实证分析过程；第六部分为结论，总结本文研究得到的主要研究结论，以及本文研究中的创新之处，并对论文的不足与后续发展研究进行探讨。

Based on neural network methods, this article establishes neural network models which are about using valuable experimental data to assist the design of new experiments. It carries out simulation calculation, taking glucose plasma experiments as studying object, using the quantity of liquefied enzyme, liquefied time, the quantity of saccharifying enzyme and saccharified time as the network input, using DE value as the network output.

基于神经网络理论建立了利用已有的实验数据对新实验进行辅助设计的神经网络模型，并以制作葡萄糖浆实验为研究对象，定义液化酶加量、液化时间、糖化酶加量、糖化时间为网络的输入，DE值为网络的输出，进行了仿真计算。

Limited by current microelectronics technology, the types and scales of neural network model supported by neurochips are being reduced. Neurochips are only suitable for some special application fields.

受当前微电子技术水平的限制，神经芯片所能支持的神经网络计算的规模和类型都很有限，比较适合于一些专用领域内的小规模神经网络计算。

Based on the data of Larch in eastern region of Daxinganling,the single entry volume table of Larch is established by using artificial neural networks and regression analysis.

采用大兴安岭东部落叶松Larch的材料，分别运用人工神经网络和回归分析方法编制了落叶松的一元材积表，人工神经网络在拟合过程中以落叶松胸径作为输入向量，以单株材积作为输出向量，并选出既符合林木材积曲线分布规律，又具有较高拟合准确度的网络模型，其网络结构为1∶2∶1，网络对象名为Enet。

In allusion to weak point of traditional PID control can't effectively tracking parametric variation of control system ,utilize neural network have predominance that self-study、self-organization、associative memory、concurrent processing and can get satisfactory result in complex control system on the basis of double closed loop,advance apply adaptive linear element network—Adaline network, which has self-learn and self-adjust ability.

在双闭环控制的基础上，针对经典PID调节器不能有效跟踪控制系统参数变化过程这一弱点，利用神经网络具有自学习、自组织、联想记忆和并行处理等功能和对于复杂系统控制可以达到满意效果的优势，提出了采用具有自学习和自适应能力的单神经元网络——Adaline网络，来构成一种神经网络自校正控制器。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。