Explore MATLAB source code curated for "BP神经网络" with clean implementations, documentation, and examples.
Implementing image segmentation with Backpropagation Neural Networks, particularly effective for RGB-rich images. Uses RGB channels as three network inputs and trains the network against corresponding grayscale images with detailed algorithm implementation.
Design examples of BP neural networks, where all cases have been tested and are ready to run immediately
GestureStudy implements a BP neural network-based mouse gesture recognition system featuring algorithm implementation, neural network training processes, and validation experiments for human-computer interaction applications
Implementation of isolated word recognition based on BP neural network with pre-trained word models, serving as the foundation for speech recognition systems with code-level implementation insights.
This project designs a Backpropagation (BP) neural network to accurately recognize 10 handwritten digits, implementing image preprocessing, feature extraction, and classification algorithms through MATLAB/Python code.
Implementation of a BP neural network that trains on multiple iris dataset samples and tests classification performance, with detailed code explanations for network architecture, training process, and prediction algorithms
This implementation uses Backpropagation Neural Networks to classify different land cover types in remote sensing images based on input sample values, followed by area calculation for each classified category using pixel counting and spatial analysis algorithms.
Implementation of BP neural network for optimizing PID controller parameters, featuring a directly executable program with excellent optimization performance that enhances system stability and responsiveness.
Implementation of BP Neural Network for traffic volume prediction using MATLAB 7.0 platform, featuring 3 input nodes and 1 output node trained on 15 datasets (1986-2000), including 9 normal training samples, 3 variable data sets, and 3 testing datasets with neural network optimization capabilities
MATLAB universal neural network implementations including Perceptron Neural Networks, Linear Networks, Backpropagation (BP) Neural Networks, and Radial Basis Function (RBF) Networks with code integration