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Construction of a Concept of Neuronal Modeling
Construction of a Concept of Neuronal Modeling
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An easy-to-use modeling concept called Concept of Neuronal Modeling (CoNM) can help businesses overcome inefficient processes, imprecise process analyses, and non-transparent artificial neuronal network models. It is based on a collection of novel sub-artifacts and has been demonstrated through six experiments and a simulator of real industrial production processes.
Format: Paperback / softback
Length: 848 pages
Publication date: 26 February 2022
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
The business problem of inefficient processes, imprecise process analyses, and simulations, as well as non-transparent artificial neuronal 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, described by the modeling language designed and its mathematical formulation and connected to a technical substantiation, is based on a collection of novel sub-artifacts. As these have been implemented as a computational model, the set of CoNM tools carries out novel kinds of Neuronal Process Modeling (NPM), Neuronal Process Simulations (NPS), and Neuronal Process Optimizations (NPO). The efficacy of the designed artifacts was demonstrated rigorously by means of six experiments and a simulator of real industrial production processes.
The business problem of inefficient processes, imprecise process analyses, and simulations, as well as non-transparent artificial neuronal 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, described by the modeling language designed and its mathematical formulation and connected to a technical substantiation, is based on a collection of novel sub-artifacts.
As these have been implemented as a computational model, the set of CoNM tools carries out novel kinds of Neuronal Process Modeling (NPM), Neuronal Process Simulations (NPS), and Neuronal Process Optimizations (NPO).
The efficacy of the designed artifacts was demonstrated rigorously by means of six experiments and a simulator of real industrial production processes.
Weight: 1160g
Dimension: 210 x 148 (mm)
ISBN-13: 9783658359980
Edition number: 1st ed. 2022
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