Seven RBF Neural Network Code Implementations
Source codes for seven RBF neural network implementations, collected, modified, and summarized through my research - shared for community discussion and collaboration
Power Flow Calculation Software Modified from MATPOWER
This power flow calculation software, modified from MATPOWER, can solve IEEE 9-300 bus systems using four numerical methods: DC power flow, Newton-Raphson method, PQ decomposition method, and Gauss-Seidel method.
Simulink Model for Second-Order Multi-Agent System Consensus
A simple and practical Simulink simulation block diagram for studying second-order multi-agent system consensus, featuring configurable parameters and agent behaviors for experimental modifications
Enhanced WSN Protocol for Optimized Cluster Head Selection
Modified WSN protocol featuring improved cluster head selection algorithms with energy-aware computational logic
A GA-PSO Hybrid Algorithm with Enhanced Variable Boundary Handling
I implemented a downloaded GA-PSO hybrid optimization algorithm that combines Genetic Algorithm and Particle Swarm Optimization strategies. The algorithm demonstrated good efficiency but required modifications to handle variable-specific boundary constraints. Key improvements include enabling independent upper/lower bounds for each design variable and fixing stability bugs through enhanced boundary-checking functions and constraint handling mechanisms.
MIMO Channel Capacity Simulation with MATLAB Implementation
A modified MATLAB-based simulation program for MIMO channel capacity analysis, featuring operational code with enhanced parameter customization and performance evaluation capabilities.
Complete MATLAB Implementation of SIFT Algorithm
Fully functional MATLAB implementation of the SIFT algorithm, personally tested and verified with excellent performance. The code requires minimal modifications for deployment and includes detailed technical documentation.
Detailed Analysis of Neural Network Control MATLAB Code with Implementation Insights
Comprehensive breakdown of neural network control MATLAB code featuring detailed annotations for every line, based on extensive practical experience. This guide demonstrates algorithm modifications and covers diverse neural network control implementations including fuzzy neural networks and adaptive neural networks. Includes practical code adaptation techniques, parameter tuning guidance, and architectural explanations - highly valuable for undergraduate and graduate thesis projects.
Fuzzy Control M-File
An M-file implementation for fuzzy control systems, serving as a reference for fuzzy control enthusiasts. The program can be flexibly modified according to specific requirements. Includes discussions on membership functions, rule bases, and defuzzification methods to facilitate collaborative learning and advancement.
Single-Channel PCM Audio File Reader
A program for reading single-channel PCM audio files, which can be easily modified to handle larger audio files with corresponding processing. This implementation uses buffered file reading to efficiently process data in segments. The author has successfully integrated this module with other programs to conduct various experiments involving partial file reading followed by subsequent processing operations.