Téléchargez le livre : Construction of a Concept of Neuronal Modeling

Construction of a Concept of Neuronal Modeling



de

Éditeur :

Springer Gabler


Paru le : 2022-02-25



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
137,14 €
Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description
The business problem of having 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, which is described by the modeling language designed and its mathematical formulation and is 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.
Pages
848 pages
Collection
n.c
Parution
2022-02-25
Marque
Springer Gabler
EAN papier
9783658359980
EAN PDF
9783658359997
Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
84
Taille du fichier
57682 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
137,14 €
EAN EPUB
9783658359997
Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
84
Taille du fichier
97966 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
137,14 €

About the author
Dr.-Ing. Marcus Grum conducts research on neural networks and knowledge processing. The explainable and ethically justifiable integration of artificial intelligence into economic contexts is a major challenge and the subject of his research. He has worked on numerous research and customer projects in the areas of knowledge management, business process management, and artificial intelligence. He graduated from the studies of computer science as well as economics at the University of Potsdam, the Technical University of Berlin and the Humboldt University of Berlin.

Suggestions personnalisées