Dynamic Financial Fraud Detection Neural Network

Architect a next-generation neural network-based fraud detection system capable of identifying sophisticated financial fraud patterns across multiple transaction channels. The system must implement adaptive machine learning models that can learn and evolve in real-time, support multi-dimensional anomaly detection, and provide low false-positive rates. Include comprehensive feature engineering, explainable AI techniques, and a distributed computing infrastructure.