Feature Extraction Using Convolutional Neural Networks Followed by SVM Classification
First, extract data features using convolutional neural networks, then perform classification using Support Vector Machines (SVM)
Particle Swarm Optimization Enhanced Fuzzy C-Means Clustering Algorithm
Implementation of FCM clustering using PSO optimization with code integration strategies
Particle Swarm Optimization (PSO) Implementation for Wireless Sensor Networks in MATLAB
MATLAB code implementation of Particle Swarm Optimization (PSO) algorithm for wireless sensor network optimization with detailed algorithm explanation and performance evaluation
Spectral Graph Method and Complex Network Community Detection Algorithms
MATLAB Implementation of Spectral Graph Methods - A Widely Used Algorithm for Complex Network Community Discovery with Code Examples and Algorithm Explanation
CA Algorithm for Optimized Interval Partitioning of Numerical Attributes
The CA algorithm effectively partitions numerical attributes into optimized intervals by integrating the advantages of both hierarchical clustering and partition-based clustering approaches. For varying initial cluster counts, this algorithm dynamica
MATLAB Optimization: Combining Niche Algorithm with Ant Colony Algorithm
Implementation of Combined Niche and Ant Colony Algorithm for MATLAB Optimization Problems - Fully Functional Code
Optimization of Power System Optimal Power Flow Using Particle Swarm Optimization Algorithm
Implementation of Particle Swarm Optimization (PSO) for power system optimal power flow optimization - a robust program featuring efficient convergence and practical application capabilities
Integration of Genetic Algorithms and Neural Networks for Stock Prediction
The combination of genetic algorithms and neural networks demonstrates excellent application in stock market forecasting, providing robust optimization techniques for predictive modeling.
Artificial Fish Swarm Algorithm Explanation with MATLAB Implementation
Comprehensive guide to Artificial Fish Swarm Algorithm featuring MATLAB source code, computational results, and improvement strategies
Solving the Projection Pursuit Grade Evaluation Model with Genetic Algorithm Implementation
Implementation and Solution of Projection Pursuit Grade Evaluation Model Using Genetic Algorithms
Dynamic Environment Optimization Algorithm Code Based on Dynamic Particle Swarm Optimization
Implementation code for dynamic environment optimization algorithm utilizing Dynamic Particle Swarm Optimization. Detailed tutorial with code explanations included - for high-resolution version contact developer directly (1066146635@qq.com) due to fi
Mean Shift Algorithm for Image Segmentation and Smoothing
Mean Shift algorithm implementation for image segmentation and smoothing, demonstrated using example images of horses with code-level insights.
Machine Learning Algorithms Based on the Sparse Bayesian Framework
Machine learning algorithms built on the sparse Bayesian framework provide effective solutions for regression and classification prediction tasks while demonstrating strong generalization capabilities through automatic relevance determination and fea
Solving Face Recognition Problems Using Wavelet Neural Networks
Wavelet Neural Networks offer an effective solution for face recognition with excellent practical performance. This method combines wavelet analysis with neural network training to extract discriminative facial features.
Hybrid Genetic Algorithm with Particle Swarm Optimization
This implementation combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to create a powerful hybrid optimization approach, particularly effective for solving complex problems requiring global optimal solutions through balanced explo
Color Image Segmentation Based on Pulse-Coupled Neural Networks
An implementation of color image segmentation algorithm using Pulse-Coupled Neural Networks (PCNN) with detailed experimental results and performance analysis
Rotation Forest Classification Method: An Ensemble Learning Approach
Rotation Forest - A Popular Ensemble Learning Classification Method for Pattern Recognition with Improved Interpretability and Computational Efficiency
EEG Signal Classification Using Backpropagation Neural Network
Original code implementation featuring EEG signal workspace data provided by my supervisor, demonstrating classification using BP neural network - ideal for beginners learning neural networks with practical examples.
MATLAB Source Code for Classification and Recognition Using BP Neural Network Classifier
MATLAB source code implementation for classification and recognition tasks using a BP (Backpropagation) Neural Network classifier, featuring data preprocessing, model training, and performance evaluation.
Time Series Prediction Using MATLAB Wavelet Neural Networks
Time series refers to a sequence of data points arranged at specific time intervals, representing various metrics such as product demand, production volume, or sales figures. The intervals can be measured in any time unit (hours, days, weeks, months)