多层神经网络

1Based on the characteristics of carbonatite reservoir in Sangtamu area, we summarize the type of seismic reflection and the distribution of oil and gas.(2)Through the study of the lateral difference of local amplitude, which can predict the short, unorderly reflective energy gobbet of carbonatite reservior, we study the distribution of carbonatite reservoir with crack.(3)Analyzing the change of the seismic waveform, applying nerve network method to classify the seismic waveform, find the rule of its change, recognizing the change rule of seismic facies.(4)Applying the seismic multi-attribute cross method to study the surface and inner of carbonatite reservoir in buried hill. We first extract the 5 kinds of seismic attribute. Through a series of choices, we find those seismic attributes that are sensitive to the change of carbonatite reservoir.

主要的研究包括：①根据桑塔木碳酸盐岩的储层特点，总结了该区的地震反射特征及油气分布特征；②研究出一种有针对性的地震属性--局域振幅横向差异性，来定量刻画潜山内部"短轴"杂乱反射能量团，预测缝洞型碳酸盐岩内部储层的平面分布规律；③通过对地震波形变化的分析，运用神经网络对地震波形进行有效分类，找出波形变化的总体规律，从而认识地震相的变化规律；④应用交会法地震多属性分析方法，对潜山表层和内部分别提取了5大类40种地震属性，通过一系列分析表层及内幕各自优选出3种、4种地震属性用于进行交会分析。

At the recognition stage, we propose the combination of characteristic input and Multi-layer Perception Network, which both reduces information input and improves self-study and fault tolerance of artificial neural network, resulting in a more precise recognition.

在识别阶段，本文采取特征提取和多层感知器网络相结合的识别方法，既可以有效减少信息量的输入，又充分发挥了神经网络的学习和容错能力，从而达到较高的识别精度。

An artificial neural network model is set up to depict relation between the self-ignition duration and sulfur content, ash content,oxygen consumption rate,carbon monoxide as well as carbon dioxide generation rate of coal at different temperature of self heating process.

根据煤的硫分、灰分以及煤自燃过程中的耗氧速率、CO和CO2产生率等随温度变化的序列值与煤自然发火期之间存在的密切对应关系，建立了前向多层人工神经网络模型，用已有的煤自然发火实验数据对网络进行训练，得到了神经元间的联结强度，从而准确地表征这种对应关系。

The structure of the system and the design of the multiple feedforward neural network used for identification of spectrogram of wastewater are discussed. Precision of the networks with different numbers of hidden layer nodes is analyzed.

介绍了系统构成原理和用于废水紫外光谱图识别的多层前向神经网络的设计，分析了含有不同隐节点数的前馈网络的精度。

In this paper,a new NN former has been used to combine the blur reasoning system with the eradiate function neural network.The network model can be used to export the distributing area of deposits and average high of collapsed building with forming ...

本文作者结合模糊推理系统和辐射基函数网络，提出了建立多层前向神经网络模型，来输出倒塌房屋堆积物分布范围及平均高度的模糊预测系统。

The SMLMS Algorithm for the Multilayer Feedforward neural Network This part analyzes the misadjustment noise introduced by the momentum factor α for traditional error Back-Propagation algorithm, and demonstrates that it is a nonnegligible factor to effect the convergent precision of the neural network.

第三章通过分析传统BP算法中存在的动量误调噪声对整个网络的收敛精度所造成的影响，确认传统BP算法中的动量误调噪声对多层前向神经网络的学习确有不可忽略的消极作用。

ABSTRACT :Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

小波神经元网络比多层前馈神经网络具有更多自由度和更好的顺应性。

ABSTRACT :Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

摘 要：小波神经元网络比多层前馈神经网络具有更多自由度和更好的适应性。

ABSTRACT 摘要:Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

摘要摘要：小波神经元网络比多层前馈神经网络具有更多自由度和更好的适应性。

ABSTRACT :Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

内容摘要：摘要：小波神经元网络比多层前馈神经网络具有更多自由度和更好的适应性。

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。