多层神经网络

Multilayer feedforward neural network is the most popular one in practice.

多层前馈神经网络是在实践中应用最为广泛的一种神经网络。

The optimal control problem for the FCC process is solved using the MFNN (multilayer feedforward neural network) for system recognition and modeling, periodogram analysis for model testing, and the advanced Frank-Wolfe algorithm for steady state optimization computation.

为解决催化裂化过程的优化控制问题，采用多层前馈神经网络进行辨识、建模，用周期图检验法对模型检验，用改进的Frank-Wolfe算法进行稳态优化计算，并以大港炼油厂实际生产过程的稳态数据进行试验和验证，说明神经网络适合于解决非线性复杂生产过程的辨识、建模和稳态优化控制问题。

According to the input of the sample set, a function set of multiresolution wavelet is obtained and the output vectors of each node are also computed.

总结了多层前向神经网络的结构设计方法，然后提出了一种新的小波神经网络构造算法。

The petrophysical properties reflect reservoir heterogeneity by integration of well testing with reservoir performance are acquired by means of geostatistics , multi-parameter cluster analysis , neural network technique , a set of method of quantitative division and estimation to reservoir quality unit in carbonate pools of fracture and vug type is explored , the estimated parameter for different unit is acquired. which lead to better the understanding of reservoir behavior and heterogeneity.

以地质统计学技术、神经网络技术和多参数聚类分析技术为手段，利用试井资料及其它开发动态资料，动静态资料相结合，研究和求取了反映岩溶储层非质性的物性参数；研究和探索了一套缝洞型碳酸盐岩储层开发储集质量单元的定量划分和评价方法，建立了不同单元的储层质量评价参数，深化了对缝洞型碳酸盐岩储层非均质性的认识。

This neural-fuzzy system can model a MIMO nonlinear system, its conclusion part of its fuzzy rules is ARX model.

提出了一种新的神经-模糊系统，该神经-模糊系统面向多入多出系统，结构上借鉴神经网络，共有六层。

This paper utilizes the nonlinear mapped competence and consilient approach to faculative function of Artificial Neural Networks and discusses the application of Back Propagation Networks model in integrated bid evaluation in order to set up a scientific bid evaluation method based on impersonality and experts knowledge. With the unceasing development of computer network technology, this method has a bright perspective of being conducted on the computer network.

本文利用人工神经网络的非线性映射能力以及对任意函数的一致逼近性能，对BP (Back Propagation，多层前向网络)网络模型在综合评标中的应用进行了探讨，目的是建立一种科学的基于客观和专家知识的评标方法；并且随着计算机网络信息技术的不断发展，可将该方法拓展为网上在线评标。

A multi-layer BP neural network, using computer digital image processing and artificial neural network was established in this paper, which could identify the area of diseased spots of soybean laminae.

综合运用计算机数字图像处理技术与人工神经网络技术，建立了一个多层BP神经网络，实现了大豆叶片中病斑的自动识别与特征计算。

IEPA was combined with neural network by the new algorithm, multi-layer feed-forward neural network structure was replaced with RBF neural network structure, and back propagation algorithm was replaced with IEPA, then, expected side-lobe suppression quota was rapidly waisted.

该算法将进化规划算法和神经网络结合起来，用径向基RBF神经网络结构取代多层前馈网络MFNN（Multilayer Feedforward Neural Nerworks）结构，用改进进化规划取代反向传播算法BP，可以以较大概率快速的收敛到要求的旁瓣抑制指标。

Then the self-recurrent neural network structure, one kind of simplified structure of internal recurrent network, and the leaming algorithm, dynamic backpropogation algorithm of self-recurrent neural network, is proposed.

本文将神经网络作为传统的线性模型的非线性推广进行了分析，证实了多层前向神经网络与非线性自回归模型的等价意义，及带有反馈的循环神经网络与非线性自回归移动平均模型的等价意义。

To the complicated reservoirs and oil-water relation, the author employs fine structure interpretation, undee aberration technology, fuzzy NN, multi-well inversion, reservoir modeling and forecast, seismic facies interpretation and 3D visualization to increase the descriptive precision of complicated reservoir, and applies the stacked processing technology of 3D seismic data to provide a technical support for the drilling development in the eastern Daqing area.

并针对油田开发难度逐年增大，储层条件和油水关系日趋复杂的情况，综合应用精细构造解释、波形畸变技术、模糊神经网络技术、多井约束反演、储层正演技术、储层预测技术、地震相解释技术及三维可视化技术，提高了复杂岩性油藏的描述精度，并应用三维地震资料连片处理技术，为大庆外围东部地区后继的钻井开发提供技术保障。

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。