Explore MATLAB source code curated for "模型训练" with clean implementations, documentation, and examples.
A MATLAB-based handwritten digit recognition system utilizing Backpropagation Neural Network, featuring interactive input canvas, feature extraction algorithms, neural network model training, and real-time digit classification capabilities. Complete implementation details and usage instructions are provided in the README documentation.
A MATLAB implementation of online SVM incremental learning leveraging the built-in SVMTrain function for model training with support for continuous parameter updates.
MATLAB code implementation for training BP neural networks using Particle Swarm Optimization algorithm
A comprehensive framework for transformer fault prediction involving data preparation, preprocessing, parameter optimization, and intelligent anomaly detection
An in-depth analysis of LIB-SVM's structural parameters, kernel functions, SVM prediction, and training processes with code implementation insights.
Implementing a PID Controller Architecture with Backpropagation Neural Network
RBF Neural Network Model: A Comprehensive Guide with Algorithm Details and Code Implementation Approaches
Implementation and Application of MATLAB Neural Network Toolbox with Code-Driven Examples for Data Modeling and Predictive Control
GA+BP: Combining Genetic Algorithms with Backpropagation Neural Networks to Enhance Model Performance and Training Efficiency