搜索资源列表
wannnpid532
- 完善网络结构将RBF网络的径向基换成小波函数，调整权值以及公式的变更， 可望在仿真结构中添加非奇异项以验证小波网络的辨识精度和能力，输入层加权值进行调整~..~-to improve the network structure of the RBF network replaced wavelet Radial Basis Functions, value and the right to adjust the formula change, the simulation structure
zzwork_f1
- 此方法可以实现空间加权的复杂网络的相关图形的仿真-this method can achieve space weighted complex network of related graphics simulation
wang.rar
- 这是加权网络中权重均匀分布，节点强度幂率分布的模型，可以画出度分步，强度分布图。,This is a weighted network, evenly distributed weight, power-law distribution of node strength of the model, you can draw the distribution of degrees and strength
xinjiaquan.rar
- 这是加权网络中节点强度和权重都是均匀分布的模型。,This is a node-weighted network strength and weight of the model are uniformly distributed.
shortestpath
- 题目：编制一个求出网中最短路径的程序. 问题描述:计算一个有向网中位置为0 的点到其余各顶点的最短路径，以一个网状的带权有向图G6为测试内容 -Topic: establishment of a network to derive the shortest path procedure. Problem Descr iption: Calculate a network location to the point of 0 to the remaining vertex of the s
CHAPTER4
- 本文讨论了神经网络PID控制策略，提出了一种单神经元自适应PID控制器，给出了控制模型，探讨了单神经元自适应PID控制学习算法，通过修改神经元控制器连接加权系数 ，构成了自适应PID控制器。利用神经网络的自学习能力进行PID控制参数的在线整定，并使用了MATLAB软件进行了仿真研究。比较传统PID控制器与单神经元自适应PID控制器两者的仿真结果表明，神经网络PID控制器参数调节简单，具有很高的精度和很强的适应性，可以获得满意的控制效果。-This paper discusses the nerv
1985528BP_RBF
- ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, si
Yong
- Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
bbv
- 这是加权网络中节点强度和权重都是幂率分布的模型。-This is a node-weighted network strength and weight distribution are the model of power.
RockAndRoll
- Simplified version of a system that finds the fastest or shortest trip along a network of roads, is an instance of the single-source, positive-weighted, shortest-path problem. In other words, from one particular vertex (a “single source”), we’ll be f
network20091201
- 用matlab开发交通带权图，在复杂网络中-Development of the traffic using matlab weighted graph, in a complex network
2009.12.31
- 该文件中有大量有关无线传感器网络方面的相关论文，有加权组合三边气体源定位算法、分布式射频干涉定位法、以及人工神经网络定位等方面的论文。希望对研究无线传感器网络的朋友们有所帮助。-The document contains a lot of information related to wireless sensor networks, papers, there is a weighted combination of the trilateral gas source localization
anp
- NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)
WeightedFair
- c++ Wireless communication network Weighted fair Q-c++ Wireless communication network Weighted fair Queue
BBVSAMPLE
- 加权网络的源代码，对于研究复杂网络模型很有用，可以参考哈^_^-BBV model-weighted network strength and weight distribution are the model of power.
fuzawangluolunwen
- 复杂网络中最经典的BA无标度网络模型matlab源程序并且有求解度的论文说明-This is papers-weighted network strength and weight distribution are the model of power.
Neural-network-recognition
- 网络将输入模式加权求和、与门限比较、再进行非线性运算，得到网络的输出-The network will be weighted sum input mode, compared with the threshold, then a nonlinear operator to get the output of the network
weighted-scale-free-network
- 该代码是生成加权无标度网络边权演化模型的matlab源代码。-This code is to generate weighted scale-free network evolution model of matlab code.
wsns-based-on-weighted-median
- 传感器节点故障诊断，分布式WMFD故障诊断算法，基于相邻节点信息比较的诊断方法-Distributed sensor network fault detection based on weighted median
daolupusheyusuan
- 1）存储城镇点。 2）建立城镇带权网络。 3）生成城镇地图存储网。 将以有道路在城镇地图中默认零距离。 -1) storage town points. 2) Establishment of the weighted network. 3) Generate town map storage network. There will be a default distance in urban road map