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