Professional MATLAB source code with comprehensive documentation and examples
Application Context: Suitable for scenarios with large existing datasets requiring comprehensive fitting and prediction analysis. Key Technology: Utilizes intelligent neural network control methods to perform data analysis and training on existing da
This code implements face detection simulation using the AdaBoost algorithm, providing clear visualization through comprehensive result graphs. The implementation demonstrates proper training of weak classifiers into a strong classifier cascade for e
A comprehensive genetic algorithm toolbox implemented in MATLAB language, featuring complete functionality and extensive optimization capabilities.
MATLAB neural network implementation source code for recognizing English alphabet images and numerical digits, featuring pattern recognition capabilities
Implementation of Radial Basis Function Neural Networks for effective classification and regression, featuring optimized network architecture and training algorithms.
Implementation of time series forecasting through wavelet neural networks with four MATLAB m-files demonstrating the complete prediction model architecture
Application Context Support Vector Machine (SVM) is a novel machine learning method based on Statistical Learning Theory (STL) developed by Vapnik. STL employs the Structural Risk Minimization (SRM) principle, which minimizes both empirical error and
This source code, extracted from a pattern recognition toolbox, computes n-th order m-repetition Zernike invariant moments of images
RBF neural network source code with MATLAB modeling and simulation capabilities, specifically designed for power load forecasting applications
A DC dual closed-loop speed regulation system implemented using neural networks as the controller architecture
A comprehensive MATLAB implementation of Fuzzy C-Means clustering, featuring 10 essential MATLAB functions with detailed algorithm explanations and code implementation insights.
Reactive power optimization using particle swarm algorithm with practical 14-node system implementation, complete with MATLAB/Python code examples for parameter initialization, fitness evaluation, and velocity updating
Enhancing Particle Swarm Optimization performance through Firefly Algorithm integration for superior optimization capabilities.
Implementation of Multi-Classifier Ensemble Selection Using Self-Organizing Data Mining Methodology with Code Integration
Wavelet Neural Networks for short-term power load forecasting, including wavelet processing programs and neural network implementations, with normalized input data for accurate predictions
A MATLAB implementation combining genetic algorithms with backpropagation neural networks, featuring classic optimization techniques for enhanced performance and accuracy.
Implementing neural network controller design without MATLAB toolbox dependencies, utilizing BP algorithm for improved control performance
Risk Prediction in Real Estate Development Based on LM Neural Networks [Practical Neural Network Tutorial Implementation]
TS fuzzy neural network implementation featuring output data comparison, network mean squared error analysis, and membership function evaluation
Complete code implementation for genetic algorithm-based image threshold segmentation, including sample images for immediate execution and result visualization