BP Algorithm Enhanced with Genetic Algorithm Development
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Resource Overview
A MATLAB-implemented program featuring BP algorithm improved with genetic optimization, successfully compiled and tested
Detailed Documentation
This implementation utilizes genetic algorithms to optimize the Backpropagation (BP) neural network algorithm. The MATLAB program incorporates key enhancements including genetic algorithm-based weight initialization and adaptive learning rate adjustment. The code structure features chromosome encoding for neural network parameters, fitness evaluation using mean squared error, and crossover/mutation operations for population evolution. Key functions include ga_optimize() for genetic optimization and bp_train_enhanced() for the modified backpropagation process. The program has passed compilation checks and includes comprehensive error handling for robust performance.
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