文件名称:englishi
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [PDF]
- 上传时间：
- 2012-11-26
- 文件大小：
- 9.08mb
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- 0次
- 提 供 者：
- 王**
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介绍说明－－下载内容均来自于网络，请自行研究使用
从sciencedirect上下载的关于神经网络的最新论文，可能对大家有帮助。-Downloaded from the sciencedirect the latest papers on neural networks, may be helpful.
相关搜索： 论文
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下载文件列表
柳下的英文论文\较好的\Application of Bayesian trained RBF networks to nonlinear time-series modeling.pdf
..............\......\Configuring radial basis function network using fractal scaling process with application to chaotic time series prediction.pdf
..............\......\Genetic k-means algorithm based RBF network for photovoltaic MPP prediction.pdf
..............\......\Noisy time series prediction using M-estimator based robust radial basis function neural networks with growing and pruning techniques.pdf
..............\......\Predictive flow-field estimation.pdf
..............\......\Recurrent radial basis function network for time-series prediction.pdf
..............\......\Time series analysis using normalized PG-RBF network with regression weights.pdf
..............\......\Time series prediction using evolving radial basis function networks with new encoding scheme.pdf
..............\......\Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm.pdf
..............\很好的 符合要求的\A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling.pdf
..............\.................\ARFNNs with SVR for prediction of chaotic time series with outliers.pdf
..............\.................\Configuring radial basis network using fractal scaling process with application to chaotic time series prediction.pdf
..............\.................\Local prediction of non-linear time series using support vector regression.pdf
..............\.................\Prediction of a Lorenz chaotic attractor using two-layer perceptron neural network.pdf
..............\.................\Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction.pdf
..............\.................\The effect of different basis functions on a radial basis function network for time series prediction A comparative study.pdf
..............\较好的
..............\很好的 符合要求的
柳下的英文论文
..............\......\Configuring radial basis function network using fractal scaling process with application to chaotic time series prediction.pdf
..............\......\Genetic k-means algorithm based RBF network for photovoltaic MPP prediction.pdf
..............\......\Noisy time series prediction using M-estimator based robust radial basis function neural networks with growing and pruning techniques.pdf
..............\......\Predictive flow-field estimation.pdf
..............\......\Recurrent radial basis function network for time-series prediction.pdf
..............\......\Time series analysis using normalized PG-RBF network with regression weights.pdf
..............\......\Time series prediction using evolving radial basis function networks with new encoding scheme.pdf
..............\......\Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm.pdf
..............\很好的 符合要求的\A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling.pdf
..............\.................\ARFNNs with SVR for prediction of chaotic time series with outliers.pdf
..............\.................\Configuring radial basis network using fractal scaling process with application to chaotic time series prediction.pdf
..............\.................\Local prediction of non-linear time series using support vector regression.pdf
..............\.................\Prediction of a Lorenz chaotic attractor using two-layer perceptron neural network.pdf
..............\.................\Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction.pdf
..............\.................\The effect of different basis functions on a radial basis function network for time series prediction A comparative study.pdf
..............\较好的
..............\很好的 符合要求的
柳下的英文论文