支持向量机Matlab工具箱1.0
(Support Vector Machine Matlab Toolbox 1.0)
混沌时间序列分析与预测工具箱 Version2.0
(Chaotic Time Series Analysis and Prediction Matlab Toolbox - version 2.0)
Matlab与VC混合编程
(Matlab & Visual C++ Programme)
Matlab6.5与VC++6.0混合编实例 - VC计算、Matlab显示
神经网络
(Neural Network,NN)
BP神经网络用于函数拟合与模式识别的Matlab示例程序
RBF神经网络用于函数拟合与模式识别的Matlab示例程序
四种支持向量机工具箱
(Support Vector Machine Toolbox,SVM Toolbox)
四种支持向量机用于函数拟合与模式识别的Matlab示例程序
关于小数据量法计算最大Lyapunov指数的讨论
Discussion on the Method for Calculating Largest Lyapunov Exponents from Small Data Sets
基于改进的C-C方法的相空间重构参数选择
Determination of Embedding Parameters for Phase Space Reconstruction Based on Improved C-C Method
基于最小二乘支持向量机的混沌背景弱信号检测
Weak Signal Detection in Chaos Based on LS-SVM
基于Volterra滤波器的混沌背景弱信号检测
Weak Signal Detection in Chaos Based on Volterra Filter
基于奇异值分解的混沌时间序列Volterra预测
Prediction of Chaotic Time Series Using Singular Value Decomposition Volterra Filter
用于混沌时间序列自适应预测的一种稀疏Volterra滤波器
A sparse Volterra filter with application to nonlinear adaptive prediction of chaotic time series
基于支持向量机的水中目标识别
Underwater Acoustic Targets Classification Using Support Vector Machine
基于MFCC的舰船辐射噪声特征提取
Feature Extraction of Ship-radiated Noise Based on Mel Frequency Cepstrum Coefficients
水中目标辐射噪声的听觉特征提取
Auditory Feature Extraction of Noise radiated from Underwater Target
Bark子波变换的改进及其在水声目标分类中的应用
The Improvement of Bark Wavelet Transform and Its Application in Underwater Acoustic Targets Classification