Explore MATLAB source code curated for "人工智能" with clean implementations, documentation, and examples.
This MATLAB code implements the Firefly Algorithm, a swarm intelligence optimization method. Developed as a university project, it features a main program with auxiliary functions simulating fundamental firefly behaviors, making it particularly suitable for artificial intelligence applications. The implementation includes attraction mechanisms based on brightness and distance calculations.
MIT's Artificial Intelligence Toolbox - A highly valuable resource providing robust AI development tools and algorithm implementations for practical applications.
This MATLAB code implements intelligent algorithms to reduce Peak-to-Average Power Ratio (PAPR) in Orthogonal Frequency Division Multiplexing (OFDM) systems using artificial intelligence and adaptive optimization techniques.
AI-powered neural network system for automated fault diagnosis and classification using machine learning algorithms
PNN, also known as Probabilistic Neural Network, was initially proposed by mathematician Specht in 1990 and subsequently refined by researchers including Master [1995]. This network architecture has been successfully applied across multiple domains including machine learning, artificial intelligence, and automatic control systems. Compared to multi-layer feedforward networks, PNN demonstrates simpler mathematical principles and easier implementation through its probability density function estimation approach using Parzen windows and radial basis functions.
Integrated UCI Dataset for AI Classification Algorithm Simulation and Evaluation
MIT AI Laboratory's object recognition source code, implemented in MATLAB, is highly suitable for computer vision research, featuring practical algorithm implementations and core computer vision techniques.
This is a particle swarm optimization toolbox available for download. Contains implementations for artificial intelligence/neural networks/deep learning applications with modular algorithm structures and configurable parameters.
This MATLAB program for fuzzy neural network decoupling is highly valuable for AI enthusiasts, featuring implementable decoupling algorithms and neural network training procedures.
Particle Swarm Optimization Algorithm | Artificial Intelligence | Optimization Technique | Signal Denoising | Highly Efficient Implementation