The Gompertz model is well known and widely used in many aspects of biology. It has been frequently used to describe the growth of animals and plants, as well as the number or volume of bacteria and cancer cells. The model, referred to at the time as the Gompertz theoretical law of mortality, was first suggested and first applied by Benjamin Gompertz in 1825. The subject of this book is extension of Gompertz-type equation in modern science. Some comparisons between the Gompertz activation function and hyperbolic tangent activation function are visualized. We explore the interesting methodological task for constructing of new activation functions using ''correcting amendments'' for example from a combination of amendment of ''Gompertz-type'' and ''Hyperbolic Tangent-type''. Applications of some cumulative distribution function of Gompertz-Makeham type are studied. The present monograph opens up opportunities for further research on raised scientific issues and their practical realization understanding in such areas as multi-layer perceptrons, neural networks, machine learning, fast adaptive neural solvers, etc.
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Il Prof. Nikolay Kyurkchiev lavora presso l'Università di Plovdiv Paisii Hilendarski, FMI. Ad oggi ha all'attivo oltre 180 pubblicazioni ed è autore/coautore di 8 monografie scientifiche. Lavora nelle seguenti aree: Analisi numerica, modellazione matematica, teoria dell'approssimazione, matematica finanziaria e assicurativa applicata e statistica medica.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Gompertz model is well known and widely used in many aspects of biology. It has been frequently used to describe the growth of animals and plants, as well as the number or volume of bacteria and cancer cells. The model, referred to at the time as the Gompertz theoretical law of mortality, was first suggested and first applied by Benjamin Gompertz in 1825. The subject of this book is extension of Gompertz-type equation in modern science. Some comparisons between the Gompertz activation function and hyperbolic tangent activation function are visualized. We explore the interesting methodological task for constructing of new activation functions using ''correcting amendments'' for example from a combination of amendment of ''Gompertz-type'' and ''Hyperbolic Tangent-type''. Applications of some cumulative distribution function of Gompertz-Makeham type are studied. The present monograph opens up opportunities for further research on raised scientific issues and their practical realization understanding in such areas as multi-layer perceptrons, neural networks, machine learning, fast adaptive neural solvers, etc. 160 pp. Englisch. Bestandsnummer des Verkäufers 9786139905690
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kyurkchiev NikolayProf. Nikolay Kyurkchiev and Prof. Anton lliev are from University of Plovdiv Paisii Hilendarski, Faculty of Mathematics and Informatics. Up to now, they have more than 80 joint papers and 6 joint monographs in the . Bestandsnummer des Verkäufers 385876743
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Gompertz model is well known and widely used in many aspects of biology. It has been frequently used to describe the growth of animals and plants, as well as the number or volume of bacteria and cancer cells. The model, referred to at the time as the Gompertz theoretical law of mortality, was first suggested and first applied by Benjamin Gompertz in 1825. The subject of this book is extension of Gompertz-type equation in modern science. Some comparisons between the Gompertz activation function and hyperbolic tangent activation function are visualized. We explore the interesting methodological task for constructing of new activation functions using ''correcting amendments'' for example from a combination of amendment of ''Gompertz-type'' and ''Hyperbolic Tangent-type''. Applications of some cumulative distribution function of Gompertz-Makeham type are studied. The present monograph opens up opportunities for further research on raised scientific issues and their practical realization understanding in such areas as multi-layer perceptrons, neural networks, machine learning, fast adaptive neural solvers, etc.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch. Bestandsnummer des Verkäufers 9786139905690
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Gompertz model is well known and widely used in many aspects of biology. It has been frequently used to describe the growth of animals and plants, as well as the number or volume of bacteria and cancer cells. The model, referred to at the time as the Gompertz theoretical law of mortality, was first suggested and first applied by Benjamin Gompertz in 1825. The subject of this book is extension of Gompertz-type equation in modern science. Some comparisons between the Gompertz activation function and hyperbolic tangent activation function are visualized. We explore the interesting methodological task for constructing of new activation functions using ''correcting amendments'' for example from a combination of amendment of ''Gompertz-type'' and ''Hyperbolic Tangent-type''. Applications of some cumulative distribution function of Gompertz-Makeham type are studied. The present monograph opens up opportunities for further research on raised scientific issues and their practical realization understanding in such areas as multi-layer perceptrons, neural networks, machine learning, fast adaptive neural solvers, etc. Bestandsnummer des Verkäufers 9786139905690
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Taschenbuch. Zustand: Neu. Extension of Gompertz-type Equation in Modern Science | 240 Anniversary of the birth of B. Gompertz | Nikolay Kyurkchiev (u. a.) | Taschenbuch | 160 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139905690 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 114395600
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