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In three-valued neural networks model, the energy function of two-valued neural networks model can not be applied, so the energy function need to be find for the three -valued neural networks model, and here two kind model algorithms are compared in this paper.

在三值神经网络模型中，二值模型的能量函数不能适用于三值模型，因此需要求解三值模型的能量函数，在此本文对三值神经网络测试生成算法与二值神经网络测试生成算法进行比较。

Computer-simulation results related to the TNN model substantiate that the timing neural network could handle well the inverse-interpolation problems of one-to-one and multiple-to-one mappings. Keywords: neural networks, weights direct determination, inverse problems, timing neural network

基于前面提出的网络模型，本文进一步提出一种增加时序控制条件的神经网络，即时序神经网络模型，并给出理论推导和进行仿真验证，结果表明该时序神经网络能够成功解决一一映射及非一一映射反插值问题。

First, the Lyapunov functional and variation of constants method are adopted to study the effect that Sigmoid function and the relation of resistance, capacitance and current in Hopfield neural networks have on the stability of networks. The stability criterion constructed by physics parameters is obtained. Thus how the constrained relation of physics parameters affects the stability of Hopfielf neural networks is clear. Based on the study above, the perturbation model of recurrent neural networks is constructed. And the theorems of the existence of solution of perturbation model are presented.

首先，采用Lyapunov泛函法和常数变易法研究Hopfield神经网络中给出的电阻、电容、电流之间的关系以及Sigmoid函数对网络稳定性的影响规律，得出仅由物理模型参数构成的稳定性判据，从而弄清物理模型参数约束关系对Hopfield神经网络稳定性所起的作用，在此基础上，构建了递归神经网络的扰动模型，并通过讨论扰动模型解的存在性问题，给出递归神经网络扰动模型解的存在性定理。

The practicality of using rough set to reduce the date was discussed, in this paper, and the interval-valued continuous attribute discretization by applying self-organizing map neural network clustering was proposed, too. This article proposes a simplified indiscernible matrix's method, which reduces the example's condition attribute and eliminates the redundant information of the date. What's more, it provides the methods used to diagnosis compressor's faults based on the intelligence hybrid system by adopting the MATLAB neural network workbox. At last, the functional modules which make up into intelligence hybrid system for fault diagnosis was introduced, including: data acquisition module, date preprocessor module, date reduction module, neural network module, fault diagnosis module and fault expressing module. Here, the article also gives the flow of work of all the above modules.

论文论述了应用粗集对故障数据进行约简的可行性，并应用自组织映射神经网络的聚类功能，来实现连续属性值的离散化方法；给出了简化的分明矩阵法，并用该方法实现了样本条件属性的约简，消除了样本数据中的冗余信息；采用MATLAB神经网络工具箱建立了压缩机的部分故障类型的智能混合诊断系统；最后介绍了智能混合故障诊断系统的功能模块组成，各功能模块分别为：数据采集模块，数据预处理模块，数据约简模块，神经网络模块，故障诊断模块，故障解释模块；并给出了各功能模块的工作流程。

According to the basic principles of neural networks and in combination with 35 examples of actual landslide projects, this paper establishes RBF and BP neural network models respectively. The comparative results of the two models show that RBF neural network model has higher accuracy and fewer errors and is more suitable for the stability evaluation of landslide. Therefore, this model is used to calculate the stability coefficients of Yellow Caoba ancient landslide and predict the stability of the landslide.

根据神经网络的基本原理，结合35个实际滑坡工程实例，分别采用RBF神经网络和BP神经网络建立滑坡稳定性评价模型，利用MATLAB编程求解，并对比了两种模型的计算结果，表明采用RBF网络模型计算出的结果精度高、误差小，更适合于对滑坡的稳定性评价；同时，运用RBF网络模型计算了黄草坝古滑坡的稳定性系数，对其稳定性进行了预测，以验证该方法的有效性。

The model of Protein Secondary Structure based on the multi-modal neural network This paper proposed a multi-modal neural network predictable model that synthesizes by 7 BP neural network group in protein secondary structure prediction, this model use "profile" encoding method and "the distance" between the amino acid for the excitory input information, has carried on the prediction to the protein secondary structure prediction.

3基于多神经网络的蛋白质二级结构预测模型论文提出了一个由 7 个 BP 神经网络组合成的多神经网络的蛋白质二级结构预测模型，该模型采用&profile&编码方式和氨基酸间的&距离&为激励输入信息，对蛋白质二级结构进行了预测。

The extremities were titanic, and there was no response to touch stimulations.Our results suggested that Pentobarbital sodium inhibited neuronal firing through GABA_A receptors, therefore the local field potentials and neural firing rates were inhibited; Urethane acted on many kinds of receptors including inhibitory and excitory ones, so the local field potentials did not change significantly; however, because of the multiform receptors on the neurons, the changing of firing rates to different neurons were not the same; Ketamine mainly acted on the NMDA receptors, therefore the local field potentials and neural firing rates were enhanced, and most neural firing rates would be increased.

从这三种麻醉剂的底层作用机制来看，戊巴比妥钠通过作用于GABAA受体对神经细胞发挥抑制性作用，因此表现为场电位和神经元放电的降低；氨基甲酸乙酯同时作用于多种受体通道，既有兴奋性受体，也有抑制性受体，因此，对场电位的影响不大，但对单个神经元来说，每个神经细胞上的受体通道分布差异较大，因此，单个神经元的放电频率变化会有所不同；盐酸氯胺酮主要作用于兴奋性的NMDA受体，故整体场电位活性增加，多数神经元的放电频率也会有所升高。

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。

In order to apply neural network and intelligent control in supermaneuverable flight, the mathematic model of flighter is obtained, and the nonlinear aerodynamic coefficients are identified using computational neural networks, then, a neural network control system for supermaneuver is designed according to the timescale, and a intelligent compensator is givento compensate for the system errors which are caused by the networks training error, no-samples input, disturbance and time-delay, etc, which including the design of knowledge base, blackboard and reasoning engneer, the simulation results of Herbst maneuver demonstrate the designed control system is satisfying.

为了在超机动中应用神经网络和智能控制，本文接着建立了超机动时飞机的数学模型，并利用神经网络对大迎角下非线性非定常气动力进行了辨识建模，然后按时标分离法设计了一个针对超机动飞行的神经网络控制系统。

BMSCs can be induced into neural stem cells and further neural stem cells derived from bone marrow can differentiate into neural cells and neuroglial cells.

骨髓基质细胞能在体外诱导分化出神经干细胞，且骨髓源性神经干细胞可进一步定向分化为神经细胞及神经胶质细胞。

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。