{"status":"public","language":[{"iso":"eng"}],"citation":{"short":"E. Moritzer, Y. Martin, E. Müller, R. Kleeschulte, in: 30th International Conference of the Polymer Processing Society (PPS), Cleveland (USA), 2014.","apa":"Moritzer, E., Martin, Y., Müller, E., &#38; Kleeschulte, R. (2014). Artificial Neural Networks to Model Formulation-Property Correlations in the Process of Inline-Compounding on an Injection Moulding Machine. <i>30th International Conference of the Polymer Processing Society (PPS)</i>. 30th International Conference of the Polymer Processing Society (PPS), Cleveland (USA).","ama":"Moritzer E, Martin Y, Müller E, Kleeschulte R. Artificial Neural Networks to Model Formulation-Property Correlations in the Process of Inline-Compounding on an Injection Moulding Machine. In: <i>30th International Conference of the Polymer Processing Society (PPS)</i>. ; 2014.","bibtex":"@inproceedings{Moritzer_Martin_Müller_Kleeschulte_2014, place={Cleveland (USA)}, title={Artificial Neural Networks to Model Formulation-Property Correlations in the Process of Inline-Compounding on an Injection Moulding Machine}, booktitle={30th International Conference of the Polymer Processing Society (PPS)}, author={Moritzer, Elmar and Martin, Y. and Müller, E. and Kleeschulte, R.}, year={2014} }","ieee":"E. Moritzer, Y. Martin, E. Müller, and R. Kleeschulte, “Artificial Neural Networks to Model Formulation-Property Correlations in the Process of Inline-Compounding on an Injection Moulding Machine,” presented at the 30th International Conference of the Polymer Processing Society (PPS), Cleveland (USA), 2014.","chicago":"Moritzer, Elmar, Y. Martin, E. Müller, and R. Kleeschulte. “Artificial Neural Networks to Model Formulation-Property Correlations in the Process of Inline-Compounding on an Injection Moulding Machine.” In <i>30th International Conference of the Polymer Processing Society (PPS)</i>. Cleveland (USA), 2014.","mla":"Moritzer, Elmar, et al. “Artificial Neural Networks to Model Formulation-Property Correlations in the Process of Inline-Compounding on an Injection Moulding Machine.” <i>30th International Conference of the Polymer Processing Society (PPS)</i>, 2014."},"year":"2014","date_updated":"2022-01-06T06:57:38Z","user_id":"44116","place":"Cleveland (USA)","publication":"30th International Conference of the Polymer Processing Society (PPS)","date_created":"2021-11-10T12:03:30Z","author":[{"id":"20531","first_name":"Elmar","last_name":"Moritzer","full_name":"Moritzer, Elmar"},{"first_name":"Y.","last_name":"Martin","full_name":"Martin, Y."},{"first_name":"E.","last_name":"Müller","full_name":"Müller, E."},{"full_name":"Kleeschulte, R.","last_name":"Kleeschulte","first_name":"R."}],"department":[{"_id":"9"},{"_id":"367"},{"_id":"321"}],"title":"Artificial Neural Networks to Model Formulation-Property Correlations in the Process of Inline-Compounding on an Injection Moulding Machine","type":"conference","conference":{"location":"Cleveland (USA)","name":"30th International Conference of the Polymer Processing Society (PPS)"},"_id":"27330"}