About this document
EDDM Forecasting in Chemical Design by dfcortesv is a document available to read on EtoBox.
This document discusses a framework for forecasting engineering drawing man-hours (EDDM) in the design of chemical equipment. The framework combines backpropagation artificial neural networks (BP-ANN) and genetic algorithms (GA) to model the complex, nonlinear relationship between input design variables and EDDM output. Input variables are selected based on their contribution and correlation to EDDM. The BP-ANN is used to model the relationship, and GA is used to optimize the BP-ANN weights and thresholds.
- Author
- dfcortesv
- Language
- EN