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2731-3220 nal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling, simulating and optimizing processes, this paper proposes a flexible Concept of Neuronal Modeling (CoNM). The modeling concept, which is described by the mo

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愉快么

Design,tion?3.1.3) can be addressed conceptually. In accordance with Peffers et?al. (2007), this refers to the third step of a design-oriented research proceeding. Faced with the design objective of this research, which refers to the construction of a ., the following establishes the CoNM context as follow

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Evaluation,ven in practice and whether the requirements of this contribution have been addressed successfully. In accordance with Peffers et al. (2007), this is the fifth step of a design-oriented research proceeding, and the section presents the CoNM evaluation of individual sub-artifacts following the method

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https://doi.org/10.1007/978-3-658-35999-7Artificial Neural Network; Process-oriented Knowledge Management; Process; Simulation; Optimization; Indu

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978-3-658-35998-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies