Credit Card Fraud Detection Based on Whale Algorithm Optimized BP Neural Network

This paper proposes a credit card fraud detection technology based on whale algorithm optimized BP neural network aiming at solving the problems of slow convergence rate, easy to fall into local optimum, network defects and poor system stability derived from BP neural network. Using whale swarm optimization algorithm to optimize the weight of BP network, we first use WOA algorithm to get an optimal initial value, and then use BP network algorithm to correct the error value, so as to obtain the optimal value.