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Tocopherol has very high physiological activity. Soybean deodorized sludge contains plentiful natural tocopherol. For extracting tocopherol from soybean deodorized sludge, solubility of α tocopherol in supercritical CO 2 is measured. The solubility data are correlated by RBF neural networks model and chrastil model. Relative error of chrastil model is 25.36%. By means of learning and training on RBF neural networks model, the average error of training set is 0.23% and that of testing set is 6.48%....

生育酚有很高的生理活性，油脂生产中得到的脱臭馏出物含有丰富的天然生育酚作为萃取生育酚的基础，对甲酯化油脂脱臭馏出物中α-生育酚在超临界CO2 中的溶解度进行了测试，并用Chrastil分子缔合模型和RBF神经网络模型对溶解度数据进行了拟合 Chrastil分子缔合模型的相对误差为 2 5.36%对于RBF神经网络模型，经过网络学习和训练，训练集平均误差仅为 0 。2 3%，测试集误差为 6.4 8%，效果比较理想

According to the actual circumstance of performance evaluation for mechanical products, the general neural network is reformed. Therefore, we construct the fuzzy neural network. This paper expresses membership function in the network by trapezium formulae .The indicators are fuzzed using the membership function .

网络中采用梯形函数的四元组形式构造模糊隶属函数，并用隶属函数的端点值和中间值作为样本，用改进的反向传播算法训练网络，得到与待评价产品情况相符合的权重值。

With the concept of complete state point space, a new method of neural networks ensemble is proposed. By guarantying the accuracy and generalization ability of neural networks ensemble identification, the method combines both the type and parameters of the systems and lowers the commands to information quantity of the object.

在系统参数辨识方面，本文基于完备状态点的概念提出了一种新的神经网络集成方法，该方法将系统的类型与参数辨识融为一体，在保证了神经网络集成辨识的精度和泛化能力的基础上，降低了对待识别系统需知测试信息的要求。

Two models of predicting oil resources using neural network has been studied. The comparison with traditional methods of Weng cycle model and Logistic model indicts that artificial neural network is a feasible method.

提出了两种神经网络预测石油资源模型，并与常用的传统方法：翁旋回模型和逻辑斯特模型对比表明了神经网络模型的有效性。

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。

Metrorrhagia is also gynaecological problems of common diseases.

崩漏是妇科常见病也是疑难症。

WordFTP gives you the convenience and timesaving you need.

wordftp让您的方便和省时您所需要的。