Complete Source Code for BP Neural Network Model

The "BP.m" file contains the complete source code implementation for the BP neural network model, featuring detailed algorithms for backpropagation training and network architecture configuration. This file includes functions for data preprocessing, forward propagation, error calculation, gradient descent optimization, and weight updating mechanisms. The "train.fig" visualization demonstrates the training progression by plotting loss function curves and accuracy improvements across epochs. "population_data_original.fig" graphically represents prediction outcomes, illustrating population quantity variations based on input data through the trained network's inference capability. "matlab_command_window_output.txt" documents real-time execution feedback including epoch-wise loss values, convergence status, and testing metrics displayed in MATLAB's command interface. "generated_data.mat" stores structured data outputs containing trained weight matrices, bias vectors, normalization parameters, and prediction results in MATLAB's proprietary binary format. Beyond .bmp and .fig files, the .mat format provides efficient serialization for persisting and reloading neural network parameters using MATLAB's load/save functions.