Professional MATLAB source code with comprehensive documentation and examples
A MATLAB program for extracting coupling coefficients of quasi-elliptic function cross-coupled filters, utilizing Genetic Algorithm and Solvopt optimization toolkit. The implementation includes iterative parameter tuning and convergence analysis. For
Detailed introduction to genetic algorithms including core concepts and practical MATLAB implementation with code examples
Stock Prediction Using BP Neural Networks - Implementation Approach and Technical Specifications
Source Code Implementation of Differential Evolution Algorithm with Detailed Technical Explanations
Version innovations include: Implementation of multiclass classification algorithms (maxwins, pairwise [4], and DAG-SVM [5]) with code-level optimization for efficient decision boundaries. Introduces model selection via xi-alpha bound criterion [6,7]
MATLAB SVM classification program compatible with versions 7.0 and above, featuring support vector machine algorithm implementation
MATLAB source code for a fundamental genetic algorithm (GA) framework! This implementation serves as a foundation for developing various enhanced genetic algorithms through modifications and extensions.
Implementation of Artificial Immune Algorithm and Neural Network for Bearing Pattern Recognition and MATLAB-based Fault Diagnosis with Code Examples
Explore the HoG SVM face recognition approach with code implementation insights - valuable for researchers studying facial recognition algorithms and their practical applications.
This program implements short-term load forecasting through genetic algorithm optimization and artificial neural network modeling. The package contains detailed documentation that can be accessed by extracting the compressed archive, including code i
A comprehensive MATLAB genetic algorithm program featuring modular sub-functions, adaptive multidimensional matrix parameter solving, floating-point real number optimization, and clearly structured code for easy understanding and implementation.
A custom-developed wavelet-based texture segmentation algorithm that performs three-level wavelet decomposition, clusters coefficients at each level, and uses clustering results to guide subsequent level classification, demonstrating excellent segmen
MATLAB implementation of Support Vector Machine (SVM) classification for IRIS dataset using K-fold cross-validation technique
This MATLAB-based implementation utilizes genetic algorithms to optimize vehicle routing for logistics distribution systems, featuring population initialization, fitness evaluation, crossover, and mutation operations.
"MATLAB Intelligent Algorithm Implementation: 30 Case Studies" presents intelligent algorithms through practical case studies, focusing on MATLAB implementations of widely-used techniques including Genetic Algorithms, Immune Algorithms, Simulated Ann
A renowned simulation of the cerebellar model neural network, incorporating foundational algorithms and implementation insights for computational neuroscience applications.
High-quality MATLAB source code for Artificial Bee Colony Algorithm, obtained directly from the original author. This implementation demonstrates the complete ABC optimization process with comprehensive code documentation.
A complete MATLAB support vector machine program featuring multiple practical usage examples and implementation details
Complete source code implementation for Neural Networks in Finance. Includes modules for prediction and estimation, time series analysis, dimensionality reduction, and classification using neural networks. Each component features detailed algorithm e
Implementation of the mainstream Particle Swarm Optimization algorithm for optimization in dynamic environments with adaptive parameter adjustment mechanisms.