Evolving Cascade-Correlation Networks for Time-Series Forecasting

摘要

This investigation applies evolutionary search to the cascade-correlationlearning network. Evolutionary search is used to find both the input weights and input connectivity of candidate hidden units. A time-series prediction example is used to demonstrate the capabilities of the proposed approach.