RBF Neural Network Function Approximation
RBF Network Function Approximation with 100 training samples and 100 test data points
Support Vector Machine (Based on Wavelet Kernel) for Nonlinear Curve Correction
Implementation using a toolbox for Support Vector Machine (wavelet kernel-based) nonlinear curve correction, including wavelet kernel function customization and hyperparameter optimization.
Neural Network Backpropagation Algorithm
Neural Network Backpropagation - Training Method with Gradient-Based Optimization
RBF Neural Network: Radial Basis Function Neural Network Implementation
RBF Neural Network - A Comprehensive Guide to Radial Basis Function Neural Networks with Code Implementation Insights
Binary Classification Using (Nonlinear) Twin Support Vector Machines
Utilizing (Nonlinear) Twin Support Vector Machines to Solve Binary Classification Problems with Implementation Insights
Monarch Butterfly Optimization Algorithm
Swarm Intelligence Optimization Algorithm - Monarch Butterfly Optimization with Code Implementation Insights
Pattern Recognition MATLAB Toolbox with Comprehensive Algorithm Implementation
Pattern Recognition MATLAB Toolbox featuring key algorithms including SVM, ICA, PCA, Neural Networks, and more, with practical code implementation examples and technical reference value
Supervised Learning Neural Network Regression Fitting - Gasoline Octane Number Prediction Based on Near-Infrared Spectroscopy
Supervised Learning Neural Network Regression for Gasoline Octane Number Prediction Using Near-Infrared Spectroscopy Data. For detailed tutorial explanations and high-resolution materials (due to file size limitations), please contact me at 106614663
Particle Swarm Optimization Algorithm Source Code with Technical Documentation
A valuable resource compiled by computational intelligence professors from Peking University's Computational Intelligence Laboratory, featuring complete PSO algorithm source code with detailed comments, supporting PPT documentation, and fifteen stand
Superior Fuzzy Neural Network Algorithm
This algorithm outperforms conventional fuzzy neural networks in training steps, training time, and error accuracy, demonstrating faster learning convergence and more stable error curves with enhanced generalization capabilities for complex problems.
MATLAB Implementation of Adaptive Particle Swarm Optimization (APSO) Algorithm
MATLAB source code for an improved Particle Swarm Optimization (PSO) algorithm featuring adaptive weight adjustment mechanisms, enhancing search efficiency and convergence performance
Feedforward Backpropagation Neural Network Algorithm
MATLAB source code implementation of the feedforward backpropagation neural network algorithm with detailed comments, serving as a fundamental learning routine for programming neural networks. The code demonstrates key aspects including network initi
MATLAB HOG Feature Extraction and SVM Machine Learning Practice
Implementation guide for HOG feature extraction using MATLAB's Image Processing Toolbox and SVM classification with Machine Learning Toolbox, including parameter tuning and performance evaluation.
Chaos Time Series Prediction Toolbox
Chaos Time Series Prediction Toolbox featuring Lyapunov exponent calculation, fractal dimension analysis, embedding dimension estimation, and neural network-based forecasting implementations
Particle Swarm Optimization with Constraint Handling Operators
MATLAB implementation of particle swarm optimization algorithm with constraint handling operators - a valuable research tool for academics and educators working with constrained optimization problems
Face Recognition Application Using Haar Feature-based Adaboost Cascade Classifier
A ready-to-run face recognition implementation utilizing Haar feature-based Adaboost cascade classifiers with complete code integration
Pattern Recognition Algorithms: Hierarchical Clustering, K-Means, and Beyond
Comprehensive guide to pattern recognition algorithms including hierarchical clustering, k-means, support vector machines, linear discriminant analysis, with implementation code examples and presentation materials
Chaotic Prediction
Essential source code for chaotic algorithms – highly recommended for download. These classic implementations, shared by research communities, include small-data set methods, Lyapunov exponent calculation, Wolf's method, mutual information techniques
Genetic Algorithm Optimization for BP Neural Network
MATLAB source code implementing genetic algorithm optimization for BP neural network weight parameters, providing an evolutionary approach to enhance neural network performance through global optimization techniques.
SVM Classification Algorithm Implementation in MATLAB Code
Effective MATLAB source code for SVM classifier implementation with detailed technical explanations and machine learning applications