Reactive polymer composite moulding process simulation by Neural Networks
Our task was to first complete a comprehensive scientific literature review on the modelling of moulding processes for reactive polymer composite processes. The second part was to actually build a code utilizing a bootstrap neural network approach to model/ simulate this particularly sophisticated and highly inter correlated process. Neural Networks approach/ methodology is based on the correlation of 'inputs', their 'translation' and prediction of future combinations 'output'. A training period is required until the neural network is prepared to provide accurate solutions/ predictions. Our work was successfull in both parts; an excellent review was provided by our client.