BP Neural Network Fuzzy Comprehensive Prediction

Within the MATLAB ecosystem, we have developed a fuzzy comprehensive prediction model based on BP neural network architecture. This model effectively performs fuzzy data processing, enhancing data handling precision and accuracy through weighted connections and backpropagation algorithms. The system not only processes input data but also conducts comprehensive analysis and predictive modeling, providing scientifically grounded support for decision-making processes. The implementation utilizes MATLAB's neural network toolbox functions like 'feedforwardnet' and 'train' with customizable hidden layers and activation functions. Simply executing the code generates validated results, while the model's extensibility and reliability are ensured through modular design and cross-validation techniques. This practical data processing tool enables sophisticated analysis and prediction of diverse datasets, delivering robust support for various decision-making scenarios.