Intelligent use of data to optimize compressive strength of cellulose-derived composites

- Neural network is trained to predict the compressive strength of composites from experimental variables.
- Input variables are optimized to maximize compressive strength, by genetic algorithm.
- Experimental constraints are considered during optimization.
- The consistency of the analysis is verified by laboratory experiments.