Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning

In three linesAMSGA extends the Forward-Forward algorithm with multi-scale goodness aggregation, adaptive curriculum, and layer-dependent thresholds. Tests on MNIST and Fashion-MNIST show +1.45% and +1.50% improvement without significant computational overhead.

Summary generated by Claude — human-verified