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[WEB Code] AntNet

Description: 一种基于蚁群聚类的径向基神经网络提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置, 同时通过比较隐层神经元的相似性、合并相似性较为接近的2 个神经元来约简隐含层的神经元,以达到简化径向基神经网络结构的目的. 实验比较了几种不同聚类算法的径向基神经网络,结果表明,所提神经网络的整体训练时间至少可缩短40 ％ ,学习的准确率可提高1 ％以上,而且网络结构更加精简.-An Ant clustering RBFNN presents a clustering algorithm based on the ant colony RBFN Liaison. Ant use the parallel algorithm optimization features and volatile coefficient method of adaptive changes in the volume of information, spherical cluster and the method of RBF neural network-based functions of the position, By comparing the same time hidden layer neurons of similarity, Merger similarity is closer to the two neurons to Jane about the hidden layer neurons, to achieve simplification RBF neural network structure purposes. Experimental comparison of several different clustering algorithm RBF neural network, The results show that the neural network's overall training time can be shortened at least 40%. Learning the accuracy rate can be increased by 1%, and the network is more streaml
Platform: | Size: 292558 | Author: zhxj | Hits:

[Other resource] GFClass

Description: 这是一个径向基函数网络MATLAB的源程序,用于两类线性不可分的数据的分类-This is a RBFN MATLAB source for the two types of non-linear data classification
Platform: | Size: 743 | Author: 吴莉 | Hits:

[Other resource] RBF

Description: 文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法无须教师学习，并能够达到全局最优。
Platform: | Size: 166407 | Author: luhui | Hits:

[Other resource] rbfn

Description: 利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元-using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons
Platform: | Size: 4941 | Author: 龙海侠 | Hits:

[AI-NN-PR] rbfn

Description: 利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元-using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons
Platform: | Size: 5120 | Author: 龙海侠 | Hits:

[Documents] AntNet

Description: 一种基于蚁群聚类的径向基神经网络提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置, 同时通过比较隐层神经元的相似性、合并相似性较为接近的2 个神经元来约简隐含层的神经元,以达到简化径向基神经网络结构的目的. 实验比较了几种不同聚类算法的径向基神经网络,结果表明,所提神经网络的整体训练时间至少可缩短40 ％ ,学习的准确率可提高1 ％以上,而且网络结构更加精简.-An Ant clustering RBFNN presents a clustering algorithm based on the ant colony RBFN Liaison. Ant use the parallel algorithm optimization features and volatile coefficient method of adaptive changes in the volume of information, spherical cluster and the method of RBF neural network-based functions of the position, By comparing the same time hidden layer neurons of similarity, Merger similarity is closer to the two neurons to Jane about the hidden layer neurons, to achieve simplification RBF neural network structure purposes. Experimental comparison of several different clustering algorithm RBF neural network, The results show that the neural network's overall training time can be shortened at least 40%. Learning the accuracy rate can be increased by 1%, and the network is more streaml
Platform: | Size: 291840 | Author: zhxj | Hits:

[matlab] GFClass

Description: 这是一个径向基函数网络MATLAB的源程序,用于两类线性不可分的数据的分类-This is a RBFN MATLAB source for the two types of non-linear data classification
Platform: | Size: 1024 | Author: 吴莉 | Hits:

[AI-NN-PR] RBF

Description: 文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法无须教师学习，并能够达到全局最优。-In this paper, we designed a 3-layer RBF neural network (RBFN) for the 5-to-business evaluation indicators cluster analysis and ant colony algorithm has done a comparative analysis. RBFN from input layer to hidden layer using the traditional K-means algorithm, hidden layer to output layer through the Mode 2 decreasing learning rate of BP learning ant colony algorithm based on pheromone can automatically adjust the allocation of land Faso path, thereby to achieve the purpose of automatic data clustering. The results showed that compared with the ant colony algorithm to improve the RBFN has a fast convergence, automatic identification of singular advantage of the sample, while the ant colony algorithm do not need teachers to learn and be able to reach the global optimum.
Platform: | Size: 165888 | Author: luhui | Hits:

[AI-NN-PR] src

Description: RBFN for nuro analysis
Platform: | Size: 10240 | Author: james | Hits:

[matlab] nn1

Description: neural networks,RBFN for mexican hat function
Platform: | Size: 1024 | Author: mohsen | Hits:

[AI-NN-PR] Adaptive-Hysteresis

Description: 基于径向基函数神经网络迟滞非线性自适应控制提出了一种新的动态迟滞非线性模型. 将一定数量不同死区宽度的 backlash 模型并行相加, 作为一个动态系统以仿真执行器中的迟滞特性. 利用该模型, 采用伪控制方法设计了一套具有未知迟滞特性非线性系统的神经网络自适应控制方案, 通过自适应算法来调整干扰项的上限. 采用 Lyapunov 稳定性理论进行了严格证明, 仿真试验验证了所提方案的有效性.- A nov el class of hysteresis mo dels w as proposed. A cer tain num ber o f different deadband w idth backlash models are superposed, w hich represents a dynamics to m im ic hysteresis in the actuator. With the mo del proposed, an radial basis function neural netw ork ( RBFN )-based adaptive control scheme for nonlinear sy stems w ith unknow n hysteresis nonlinearity w as dev elo ped. The control scheme adopts the de- sign method of pseudo-co ntro l. Witho ut the assumption of boundedness of disturbance term , it is tuned thr oug h adaptive algo rithm . The stability is rigidly pr oved v ia Lyapunov theory and the effectiveness of the pro posed contr ol scheme is illustrated through simulatio n.
Platform: | Size: 211968 | Author: | Hits:

[Communication-Mobile] rbfn

Description: RBFN Radial basis function networks
Platform: | Size: 1024 | Author: tootam | Hits:

[matlab] kmeansf

Description: kmean clustering algorithm. this code will take the training data set (with out class lebel) as input and return the no of optimum centre used in rbfn by using eucleadian distance.
Platform: | Size: 1024 | Author: shashi | Hits:

[matlab] RadialBasesFn

Description: RBFN Radial basis function networks- RBFN Radial basis function networks
Platform: | Size: 1024 | Author: MSc | Hits:

[matlab] RBFN_-GRBFN

Description: Comparing the power of RBFN and GRBFN in signal prediction
Platform: | Size: 1024 | Author: sadegh20 | Hits:

[AI-NN-PR] PSORBEM

Description: PSO-RBFN 神经网络，为function程序，可以改变输入的各个变量。-PSO-RBFN ANN
Platform: | Size: 1024 | Author: 刘峰 | Hits:

[OS program] RBFN

Description: Tell about demo of RBFNN.
Platform: | Size: 6144 | Author: srima | Hits:

[matlab] RBFN

Description: code for training radial basis function networkn
Platform: | Size: 8192 | Author: RRK | Hits:

[Other] RobRomijnders-rbfn_learnable-b89962a

Description: RBFN FOR IMAGE RECOG
Platform: | Size: 176128 | Author: benatiyah | Hits:

[Other] RBFN-master

Description: RBFNN FOR REGRESSION +CLASS
Platform: | Size: 691200 | Author: benatiyah | Hits:

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