Description: 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 is expected to add non-singular wavelet network to verify the accuracy and the ability to identify, input layer weighted value adjustments Platform: |
Size: 3570 |
Author:q024100404 |
Hits:
Description: 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 nerve network PID control strategy and a single neural and adaptive PID controller is presented, and it s model is given here. The algorithm of PID controller is explored by revising the weighted coefficient . Make use of the study ability of the nerve network to turing the PID control parameter, and proceeds the simulation research using matlab software. From the simulation results, it is can be shown that Neural Network PID controller have the higher accuracy and stronger adaptability, and can get satisfied control result.
Key Words: PID；single Neuron；self-adaptive
Platform: |
Size: 7168 |
Author:大同小异 |
Hits:
Description: 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, simpler network structures and
faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs. Platform: |
Size: 114688 |
Author:u123xz |
Hits:
Description: 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 neighborhood information into the standard FCM clustering algorithm. Two improved implementations of the k-nearest neighbor (k-NN) algorithm are introduced for calculating the weight in the SWFCM algorithm so as to improve the performance of image thresholding. Platform: |
Size: 293888 |
Author:silviudog |
Hits:
Description: 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 Platform: |
Size: 1024 |
Author:李华 |
Hits:
Description: 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. Platform: |
Size: 1024 |
Author:李华 |
Hits:
Description: 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. Platform: |
Size: 1024 |
Author:李华 |
Hits:
Description: 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 finding the shortest path to another vertex where all of the edges have a “positive weight” (in our case, distance or speed) associated with them. Platform: |
Size: 9216 |
Author:Ron |
Hits:
Description: 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 Platform: |
Size: 474112 |
Author:左亮亮 |
Hits:
Description: 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 algorithm, distributed radio frequency interference positioning method, and artificial neural network location, etc. papers. Hope that the study of wireless sensor networks, friends help. Platform: |
Size: 7187456 |
Author:丁杰 |
Hits:
Description: 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)，组成判断矩阵。
7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。
8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。
-NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following:
A determining factor, and a network layer and control layer model.
2 create a comparison matrix.
For each of the three types of indicators in accordance with normalized columns.
4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors.
5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements.
6 will each feature vector units of (normalized), to determine the composition of matrix.
7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix.
8 of the weighted super-matrix units of (normalized), seeking the powe Platform: |
Size: 4096 |
Author:chen |
Hits:
Description: 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. Platform: |
Size: 4528128 |
Author:huanghan |
Hits:
Description: 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. Platform: |
Size: 1841152 |
Author:huanghan |
Hits:
Description: 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 Platform: |
Size: 493568 |
Author:徐森 |
Hits:
Description: 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 Platform: |
Size: 1780736 |
Author:陈嘉强 |
Hits:
Search - weighted network