LIB-SVM Structure Parameters, Kernel Functions, SVM Prediction, and Training
An in-depth analysis of LIB-SVM's structural parameters, kernel functions, SVM prediction, and training processes with code implementation insights.
MATLAB Source Code for Standard Particle Swarm Optimization Algorithm
MATLAB implementation of the standard Particle Swarm Optimization (PSO) algorithm with enhanced code descriptions and parameter explanations
Design Example of BP Neural Network
Design Example of BP Neural Network with Implementation Details
Adaptive Genetic Algorithm with Implementation Enhancements
Adaptive Genetic Algorithm with MATLAB Implementation Using Orthogonal Decomposition Methods
BP Neural Network Prediction Example
Prediction Implementation with Backpropagation Neural Network
Neural Network Algorithm for License Plate Character Recognition
Neural Network Algorithm for License Plate Character Recognition with Implementation Details
Complex Network Basic Parameters: Clustering Coefficient Calculation
Complex Network Basic Parameters: Clustering Coefficient Calculation with Algorithm Implementation Details
Hybrid Particle Swarm Optimization Algorithm
Hybrid Particle Swarm Optimization Algorithm - An Enhanced Approach Combining PSO with Simplex Method
Spectral Clustering Algorithm for Image Segmentation
Spectral Clustering Algorithm for Image Segmentation with MATLAB Implementation Details
MATLAB Implementation of Particle Swarm Optimization Algorithm with Practical Examples
Complete MATLAB code implementation guide for Particle Swarm Optimization (PSO) algorithm including parameter configuration and optimization techniques
Wind Power Prediction Using Support Vector Machine Optimized by Particle Swarm Optimization
Wind Power Forecasting with Particle Swarm Optimization-Enhanced Support Vector Machine
BP Neural Network for Control System Identification
Implementation of Backpropagation Neural Networks in Control System Identification with Code-Level Insights
Robot Path Planning Using Genetic Algorithms
Genetic Algorithm Implementation for Robotic Path Planning
BA Scale-Free Networks, Random Graphs, WS Small-World Networks, NW Small-World Networks, Nearest-Neighbor Coupled Networks, Average Path Length, Degree Distribution, Clustering Coefficient
Complex network models including BA scale-free networks, random graphs, WS small-world networks, NW small-world networks, nearest-neighbor coupled networks, with analysis metrics such as average path length, degree distribution, and clustering coeffi
MATLAB Implementation of Simulated Annealing Algorithm
MATLAB code implementation of simulated annealing algorithm with detailed technical explanations
Function Extremum Optimization Using Real-Coded Genetic Algorithm
Real-Coded Genetic Algorithm for Function Extremum Optimization with MATLAB Implementation Details
Adaboost Algorithm: Constructing Strong Classifiers from Weak Learners
Implementation of the Adaboost algorithm that combines multiple weak classifiers to form a robust strong classifier through iterative weight adjustment and weighted voting mechanisms.
Handwriting Recognition Based on LIBSVM
Handwriting Recognition System Utilizing LIBSVM Library with SVM Algorithm Implementation
Fault Diagnosis Implemented with Immune Algorithm
Fault diagnosis system developed using immune algorithm principles with code-level optimization strategies
Normalized Cut (Ncut) Algorithm in Spectral Clustering
Implementation and Algorithmic Overview of Classic Ncut Method for Spectral Clustering