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Description: The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of neural networks:
1) Adaptive Linear Network (ADALINE)
2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA)
3) Radial Basis Functions (RBF) Networks
4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN)
5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm
A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included-The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms .~..~ There are 11 blocks that implement basically these five kinds of neural networks : a) Adaptive Linear Network (ADALINE) 2) Multilayer Layer 102206 with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks, 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) and RBF Networks with Piecewise Linear Dynamic Cell Structure (DCS) algorithm A Simulink example regarding the approximation of a scalar nonlinear function of four variables is included
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Size: 198656 |
Author: 叶建槐 |
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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
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Size: 3072 |
Author: q024100404 |
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Description: annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.-ANN, ie, Artificial Neural Network library developed i n C. It can be used to implement various kinds of n Eural networks like Multi-Layer 102206. Radial basis function networks, Hopfield networks etc.
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Size: 492544 |
Author: 陈伟 |
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Description: This program demonstrates some function approximation capabilities of a Radial Basis Function Network.
The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for the network. Using the training samples, the weights multiplying each of the gaussian basis functions arecalculated using the pseudo-inverse (yielding the minimum least-squares solution). The resulting network is then used to approximate the function between the given "sample" points. -This program demonstrates some function a pproximation capabilities of a Radial Basis Fu nction Network. The user supplies a set of train ing points which represent some "sample" point s for some arbitrary curve. Next, the user specifies the number of equally spaced Response centers and the variance for the netwo rk. Using the training samples, the weights multiplying each of the Gaussian ba sis functions arecalculated using the pseudo- inverse (yielding the minimum least-squares s middleware). The resulting network is then used to approximate the function between the given "sa mple "points.
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Size: 18432 |
Author: 陈伟 |
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Description: 二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快。-Two-dimensional empirical mode decomposition, the use of morphology for extreme points, Radial Basis Function Neural Network Fitting, faster.
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Size: 6144 |
Author: 叶子青 |
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Description: 本工具包主要是为对神经网络有兴趣人士提供的一种方便，灵活的学习和研究软件。
JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行，无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。
支持反向传播算法(BP),LBG聚类法和径向基网络(RBF)
-This toolkit is for people interested in neural networks has provided a convenient, flexible learning and research software. JNNT by the java language, cross-platform with superior performance. Java applet demo version is more simple to just any machine can run a browser, without installing any large-scale add-on software. Enthusiasts through the internet more convenient remote access to resources. To support the back-propagation algorithm (BP), LBG clustering method and radial basis function network (RBF)
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Size: 32768 |
Author: 林盈 |
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Description: 可以方便利用训练数据建立径向基函数神经网络并绘制输入-输出网格图。-Can easily make use of training data to establish radial basis function neural network and the mapping of input- output grid.
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Size: 2048 |
Author: 张磊 |
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Description: 径向基神经网络（Radial Basis Function, RBF）-RBFNN (Radial Basis Function, RBF)
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Size: 7168 |
Author: liutao |
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Description: 一种BP神经网络和径向基函数网络的VC源代码-A BP neural network and Radial Basis Function Network VC source code
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Size: 30720 |
Author: 王京 |
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Description: 为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了
该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论，
采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模
型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而
言，其补偿效果提高了大约15％。-In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.
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Size: 129024 |
Author: 程正 |
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Description: 神经网络的源码程序，利用c的知识和能用径向基神经网络的功能-Neural network source code procedures, take advantage of the knowledge and use c radial basis function neural network
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Size: 1024 |
Author: jiangjiuju |
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Description: 三个径向基神经网络的matlab程序，径向基网络用于逼近-Three radial basis function neural network matlab procedures, radial basis function networks for approximation
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Size: 2048 |
Author: shui |
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Description: 基于聚类的RBF 网设计算法,验证过了，仿真效果还不错-Cluster-based RBF network design algorithm, verified, the simulation effect is also good
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Size: 1024 |
Author: 余咏波 |
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Description: 针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模
型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫
网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定
位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数
(RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不
同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性.
-Mathematical model for the actual object is not clear and difficult to control the problem, the use of artificial immune network model and the discrete learning algorithm, artificial immune systems and neural networks combine the advantages of structure, an artificial immune network based on pattern recognition algorithms, Construction of the object identified by artificial immune network model. the algorithm is a combination of network nodes to adjust the position and parameters as well as the basis function implementation of the smoothing factor, tuning and other functions, to effectively solve the Radial Basis Function (RBF) neural network pattern recognition of two phase of the task, so that the accuracy of pattern recognition have greater improvements. the use of two different object functions of the simulation tests show that the algorithm has fast convergence and higher accuracy.
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Size: 114688 |
Author: 杨玉琴 |
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Description: 七个RBF神经网络的源程序，是我收集修改总结出来的，与大家分享，欢迎讨论-Seven RBF neural network source code is modified, I summed up the collection to share with you are welcome to discuss
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Size: 8192 |
Author: 王亚静 |
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Description: matlab实现 感应器神经网络、线性网络、BP神经网络、径向基函数网络-matlab neural network implementation of sensors, linear network, BP neural networks, Radial Basis Function Network
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Size: 3072 |
Author: xiuzhuo |
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Description: 网络神经算法中,用径向基函数实现的最快梯度下降法-Neural network algorithm with radial basis function to achieve the fastest gradient descent algorithm
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Size: 1024 |
Author: evelyn |
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Description: 基于遗传算法对rbf神经网络的径向基宽度进行优化的matlab程序-Based on genetic algorithm rbf radial basis neural network to optimize the width of the matlab program
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Size: 4096 |
Author: 王建 |
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Description: 一个粒子群算法、遗传算法优化RBF径向基神经网络源代码,可直接使用。-A particle swarm optimization, genetic algorithm optimization RBF Radial Basis Function neural network source code, can be used directly.
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Size: 6144 |
Author: 李霞妮 |
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Description: 用于函数逼近的径向基逼近和差值，是一个基础函数，包括高斯及二项式两种，可拓展到多个应用领域-Radial basis functions are use for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
The package also calculates line integrals between two points.
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Size: 9216 |
Author: 辛芳芳 |
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