Solving VRP Vehicle Routing Problem Using GA Genetic Algorithm
Implementing GA genetic algorithm to solve the Vehicle Routing Problem (VRP) and its special case TSP Traveling Salesman Problem, with comprehensive code implementation details
SVM Example Program with RBF Kernel Implementation
SVM example program utilizing RBF (Radial Basis Function) kernel with gamma parameter set to 0.5. Includes code implementation details suitable for professionals working with SVM parameter optimization and machine learning algorithms.
RBF Neural Networks for Function Approximation
RBF networks require fewer learning iterations for function approximation while delivering superior curve fitting performance, making them efficient for computational implementations
BP Neural Network Control System Identification
Original M-file source code for BP neural network-based control system identification, featuring offline training capabilities for simulating sampling point variation curves
Wavelet Neural Network Diagnostic
Source code for wavelet neural network diagnostics implementing MATLAB simulation of wavelet neural networks with enhanced algorithm implementation details
Wavelet Neural Network Prediction Model
A fully functional wavelet neural network prediction model with practical implementation, featuring hybrid architecture that combines wavelet transform for feature extraction and neural networks for pattern recognition. Valuable for learning neural n
Application of Elman Neural Network in Electric Power Load Forecasting Models
Application of Elman Neural Network in Electric Power Load Forecasting Models with Code Implementation Insights
MATLAB Implementation of Fisher Discriminant Analysis
Fisher Discriminant Analysis for Pattern Recognition - Fisher Linear Discriminant Implementation with MATLAB Code Examples
Fuzzy C-Means Algorithm Prone to Local Optima Convergence and Genetic Algorithm Enhancement
The Fuzzy C-Means (FCM) algorithm often converges to local minima. To overcome this limitation, we integrate genetic algorithm optimization with FCM clustering. The genetic algorithm determines optimal initial cluster centers through iterative evolut
Decision Tree Algorithm Implementation
A comprehensive MATLAB implementation of decision tree algorithm with detailed explanations and code descriptions
Rectangle Packing Using Simulated Annealing Algorithm
Implementation of rectangular nesting/packing using simulated Annealing algorithm, where C.m serves as the main script file calling the cutting function LOW.m
Prediction Example Using BP Neural Network with Code Implementation Details
Detailed analysis of a BP neural network prediction example including comprehensive explanations and code-related descriptions
Pattern Classification Application Using BP Learning Algorithm
Pattern Classification Using Momentum BP Learning Algorithm - This implementation applies the momentum backpropagation algorithm for classifying the classic UCI Iris dataset, achieving fast processing speed and high accuracy. The iris.arff file is th
Source Code for Various Artificial Intelligence Algorithms
Source code implementations for various AI algorithms including Ant Colony Optimization, Particle Swarm Optimization, Genetic Algorithms, and Neural Networks with implementation details
Maximum Likelihood Estimation Gradient Algorithm and Fast ICA Algorithm
This implementation includes both maximum likelihood estimation gradient algorithm and Fast ICA algorithm, which have been successfully debugged. Special attention should be paid to whether the input signal x is provided as a row vector or column vec
MATLAB Implementation of RBF Neural Network with Source Code
RBF Neural Network source code implemented using MATLAB programming, featuring algorithm explanations and key function descriptions
Feature Selection Using Branch-and-Bound Method
In pattern recognition applications, this MATLAB implementation demonstrates feature selection using the branch-and-bound algorithm, specifically selecting two optimal features from a pool of six features with efficient search space pruning.
BP Neural Network Example for Zhejiang Province GDP Prediction
An example of GDP prediction for Zhejiang Province using BP neural networks, featuring clearly written data processing code with chart input capabilities and detailed implementation insights
Solving High-Degree Nonlinear Equation Systems Using Genetic Optimization Algorithms
Implementation of genetic optimization algorithms for solving high-degree nonlinear equation systems with practical code examples demonstrating algorithm configuration and fitness function design.
Solving Vehicle Routing Problem Using Genetic Algorithm with MATLAB Implementation
Implementation of Genetic Algorithm for Vehicle Routing Problem using MATLAB, featuring ready-to-run code with comprehensive optimization and visualization capabilities