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2Based on the nonlinear theory, we found the reservoir seismic nonlinearprediction and evaluation method technology, it is constituted by three nonlinearmethods and the technologys of the fracture prediction, the seismic inversion and thereservoir synthesis prediction evaluation: The seismic nonlinear prediction ofreservoir fracture is one new method which is composed with the phase spacereconstruction, the nonlinear parameters pick-up technology and the syntheticprediction evaluation method. The reservoir seismic high resolution nonlinearinversion is a new seismic inversion way which the BP algorithm is embeded in theauto-adapted genetic algorithms interior to have the predominances of neural networktechnology and genetic algorithms, it adopts the new embedded GA-BP mixalgorithms and the nonlinear mapping technology, and realizes the inversionautomatically, obtains the high resolution seismic inversion profile. The reservoirseismic nonlinear synthesis prediction and evaluation is a new method which iscombined organically of genetic algorithms and adaptive neural fuzzy inferencesystem, it will optimize the new seismic attribute space which are processed to take the input, uses the new adaptive mix algorithm which GDand LSE(least-square estimation) mix algorithms of ANFIS network insert to the GAinterior and taboo search algorithms is added to the intercrossed operation place,the simulation of the evaluation parameters is used quantitative evaluation guide lineto the reservoir quality and oil-gas distribution.

2基于非线性理论，创建了储层地震非线性预测与评价方法技术，它是由裂缝预测、地震反演和储层综合预测与评价等三大非线性方法与技术组成：储层裂缝地震非线性预测是由相空间重建、非线性参数提取与预测技术及综合评价方法组成的一种新型裂缝预测方法；储层地震高分辨率非线性反演是将BP算法嵌入自适应遗传算法内部所构成的集遗传算法和神经网络技术优势于一体的新的地震反演方法，它采用嵌入式新的混合算法及非线性映射技术，自动实现反演，获得高分辨率地震反演剖面；储层地震非线性综合预测与评价是由遗传算法与自适应神经网络—模糊推理系统有机地相结合而产生的储层预测与评价的新方法，它将优化处理所形成的新地震属性参数空间作为输入，采用将ANFIS网络中的混合算法嵌入到GA算法内部与禁忌搜索算法加在交叉操作处产生新的自适应混合算法，将综合评价参数作为储层品质和含油气性的定量评价指标。

Ack-propagation neural network, one of the most typical models of artificial neural network, has been widely used in many fields.

P神经网络是各种神经网络模型中具有代表意义的神经网络模型之一，己获得了广泛的应用。

Artificial neural network is a nonlinear dynamic system, which is constructed by theoretical abstracting and predigesting of the biological neural network in terms of structure, function and some basically specific aspects .ANN has distributed storage mode and parallel disposing mode of information.

文章最后将决策树技术和BP神经网络技术应用于击剑训练负荷分析系统中，在运动员各项生理生化指标与运动负荷量之间建立分类模型，并通过测试样本对它们的准确性进行了比较与评价。

Our results show that EV71 proliferates in the neural cells and leads to neural cell lesions.

因此，探讨EV71感染神经细胞的生物学效应无论在EV71感染发病机理的研究，还是在EV71感染的流行病学检测措施研究中均具有重要意义。

Then the algorithm constructs a forward neural network and retrieves again based on the learned neural network.

神经网络的构造过程即是学习的过程，而且可以不断地学习。

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。

To be aim at Fitting-Type neural network canceller, design methods and technology projects of the VLSI integrated chips are investigated, which are verified. Moreover, The presented neural network ideas and methods can be directly applied to radar systems and spreed spectrum communication systems, which therefore are of wide application values.

此外，所提出的克服导弹引信存在的有源窄带干扰的神经网络思想和方法可以毫不修改地直接应用于雷达地面站和扩频通信系统中，因而具有一定的推广应用价值。

But because of some bugs, they cannot be applied more widely. Base on these, a new control method called ""self-organized fuzzy control base on dynamic structure neural network ""is proposed in this article. It syncretizes the strongpoint of Fuzzy control and Neural Net control, and attain optimization control with the adjusting the number of the net's layer.

针对这种时变大时滞被控对象的特点，目前主要采用Smith、Dahlin和IMC控制，这些控制方法在某方面可能得到一定应用，但由于其本身存在某些缺陷，因此不可能得到广泛应用，笔者在此基础上提出了一种基于动态结构的神经网络自组织模糊控制，它融合了神经网络和模糊控制的优点，并能通过在线调整网络的层数以达到最优控制的效果。

An intelligent control algorithm of two-times regulation of angle error was proposed, which combined neural network control and fuzzy control. Advanced output of neural network control turns off the servo valve switch. Fuzzy control turns on the servo valve switch again for more precise regulation.

该算法应用神经网络控制和模糊控制对转角误差进行分段调整，由ε-NN神经网络输出提前量给开关伺服阀断电，采用模糊控制使伺服阀再次得电进行细调。

Fuzzy neural network is then applied to the fast valving control of power systems, a self-organizing fuzzy neural network fast valving controller is designed.

根据快速汽门控制的原理以简洁的形式给出了初始模糊控制规则和自组织修正规则。

We have no common name for a mime of Sophron or Xenarchus and a Socratic Conversation; and we should still be without one even if the imitation in the two instances were in trimeters or elegiacs or some other kind of verse--though it is the way with people to tack on 'poet' to the name of a metre, and talk of elegiac-poets and epic-poets, thinking that they call them poets not by reason of the imitative nature of their work, but indiscriminately by reason of the metre they write in.

索夫农 、森那库斯和苏格拉底式的对话采用的模仿没有一个公共的名称；三音步诗、挽歌体或其他类型的诗的模仿也没有——人们把&诗人&这一名词和格律名称结合到一起，称之为挽歌体诗人或者史诗诗人，他们被称为诗人，似乎只是因为遵守格律写作，而非他们作品的模仿本质。

The relationship between communicative competence and grammar teaching should be that of the ends and the means.

交际能力和语法的关系应该是目标与途径的关系。