BP Neural Network for Data Classification - Voice Feature Signal Classification
BP Neural Network for Data Classification with Voice Feature Signal Processing
Data Classification Using BP Neural Networks
Speech Feature Signal Classification with Implementation Approaches
Self-Organizing Map (SOM) Networks in Neural Networks
Implementing data classification using Self-Organizing Map (SOM) networks from neural network architectures, with code implementation insights for competitive learning algorithms
SVM Data Classification and Regression Analysis
Implementation of SVM data classification and regression analysis using various kernel functions including RBF, sigmoid, and polynomial kernels with code integration
Simulation of Print-Scan Resilient Digital Watermarking Algorithm
This program simulates a digital watermarking algorithm resistant to print-scan attacks, utilizing DCT-domain data classification for effective performance. The underlying principles are based on the reference book "Digital Watermarking Theory and Technology" edited by Yang Yixian et al., published by Higher Education Press. The implementation involves discrete cosine transform (DCT) coefficient manipulation and classification-based embedding strategies.
Implementation of CART Algorithm in MATLAB
A MATLAB-based implementation of CART (Classification and Regression Trees) algorithm for pattern recognition tasks, supporting both classification and regression analysis. The package includes detailed documentation, sample routines, and code explanations covering key functions like tree building, node splitting using Gini impurity, and pruning techniques.
SVM Implementation for Data Classification
SVM-based data classification with customizable kernel functions for image segmentation operations. The program automatically trains classification planes, featuring flexible kernel selection and adaptive training algorithms.
Data Classification Using BP Neural Network with MATLAB Implementation
Implementation of data classification through BP neural network using MATLAB programming approach
Experimenting with K-Means Algorithm
Implementing K-Means algorithm in MATLAB for data classification with practical code examples and cluster analysis
MATLAB Implementation of Support Vector Machine with Code Examples
MATLAB-based implementation of Support Vector Machine (SVM) that automatically performs data classification tasks using built-in functions and customizable parameters.