Hybrid Self-Organizing Modeling Systems

Onwubolu, Godfrey C. (EDT)

Editore: Springer Verlag, 2009
ISBN 10: 3642015298 / ISBN 13: 9783642015298
Usato / Hardcover / Quantità: 0
Copie del libro da altre librerie
Mostra tutte le  copie di questo libro

Libro

Purtroppo questa copia non è più disponibile. Di seguito ti proponiamo una lista di copie simili.

Descrizione:

Our orders are sent from our warehouse locally or directly from our international distributors to allow us to offer you the best possible price and delivery time. Codice inventario libreria

Su questo libro:

Book ratings provided by Goodreads):
0 valutazione media
(0 valutazioni)

Riassunto: Models form the basis of any decision. They are used in di?erent context and for di?erent purposes: for identi?cation, prediction, classi?cation, or control of complex systems. Modeling is done theory-driven by logical-mathematical methods or data-driven based on observational data of the system and some algorithm or software for analyzing this data. Today, this approach is s- marized as Data Mining. There are many Data Mining algorithms known like Arti?cial Neural N- works, Bayesian Networks, Decision Trees, Support Vector Machines. This book focuses on another method: the Group Method of Data Handling. - thoughthismethodologyhasnotyetbeenwellrecognizedintheinternational science community asa verypowerfulmathematicalmodeling andknowledge extraction technology, it has a long history. Developed in 1968bythe Ukrainianscientist A.G. Ivakhnenko it combines the black-box approach and the connectionism of Arti?cial Neural Networks with well-proven Statistical Learning methods and with more behavior- justi?ed elements of inductive self-organization.Over the past 40 years it has been improving and evolving, ?rst by works in the ?eld of what was known in the U.S.A. as Adaptive Learning Networks in the 1970s and 1980s and later by signi?cantcontributions from scientists from Japan,China, Ukraine, Germany. Many papers and books have been published on this modeling technology, the vast majority of them in Ukrainian and Russian language.

Dalla quarta di copertina:

The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. However, it is known to often under-perform on non-parametric regression tasks, while time series modeling GMDH exhibits a tendency to find very complex polynomials that cannot model well future, unseen oscillations of the series. In order to alleviate these problems, GMDH has been recently hybridized with some computational intelligence (CI) techniques resulting in more robust and flexible hybrid intelligent systems for solving complex, real-world problems. The central theme of this book is to present in a very clear manner hybrids of some computational intelligence techniques and GMDH approach.

The hybrids discussed in the book include GP-GMDH (Genetic Programming-GMDH) algorithm, GA-GMDH (Genetic Algorithm-GMDH) algorithm, DE-GMDH (Differential Evolution-GMDH) algorithm, and PSO-GMDH (Particle Swarm Optimization) algorithm. Also included is the description of the recently introduced GAME (Group Adaptive Models Evolution algorithm.

The hybrid character of models and their self-organizing ability give these hybrid self-organizing modeling systems an advantage over standard data mining models.

The modeling and data mining solutions of several real-life problems in the areas of engineering, bioinformatics, finance, and economics are presented in the chapters. The book will benefit amongst others, people who are working in the areas of neural networks, machine learning, artificial intelligence, complex system modeling and analysis, and optimization.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Dati bibliografici

Titolo: Hybrid Self-Organizing Modeling Systems
Casa editrice: Springer Verlag
Data di pubblicazione: 2009
Legatura: Hardcover
Condizione libro: New

I migliori risultati di ricerca su AbeBooks

1.

Godfrey C. Onwubolu (Editor)
Editore: Springer (2009)
ISBN 10: 3642015298 ISBN 13: 9783642015298
Nuovo Rilegato Quantità: 1
Da
Ergodebooks
(RICHMOND, TX, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Springer, 2009. Hardcover. Condizione: New. 2009. Codice articolo DADAX3642015298

Informazioni sul venditore | Contattare il venditore

Compra nuovo
EUR 151,72
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 4,03
In U.S.A.
Destinazione, tempi e costi

2.

Editor-Godfrey C. Onwubolu
Editore: Springer (2009)
ISBN 10: 3642015298 ISBN 13: 9783642015298
Antico o usato Rilegato Quantità: 1
Da
Ergodebooks
(RICHMOND, TX, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Springer, 2009. Hardcover. Condizione: Used: Good. Codice articolo SONG3642015298

Informazioni sul venditore | Contattare il venditore

Compra usato
EUR 163,38
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 4,03
In U.S.A.
Destinazione, tempi e costi

3.

Onwubolu, Godfrey C.
Editore: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG (2009)
ISBN 10: 3642015298 ISBN 13: 9783642015298
Nuovo Quantità: > 20
Print on Demand
Da
Pbshop
(Wood Dale, IL, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, 2009. HRD. Condizione: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo IQ-9783642015298

Informazioni sul venditore | Contattare il venditore

Compra nuovo
EUR 165,42
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 3,22
In U.S.A.
Destinazione, tempi e costi

4.

Editore: Springer (2009)
ISBN 10: 3642015298 ISBN 13: 9783642015298
Nuovo Rilegato Quantità: 1
Da
Irish Booksellers
(Portland, ME, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Springer, 2009. Condizione: New. book. Codice articolo M3642015298

Informazioni sul venditore | Contattare il venditore

Compra nuovo
EUR 179,76
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
In U.S.A.
Destinazione, tempi e costi

5.

Onwubolu, Godfrey C
Editore: Springer (2016)
ISBN 10: 3642015298 ISBN 13: 9783642015298
Nuovo Paperback Quantità: 1
Print on Demand
Da
Ria Christie Collections
(Uxbridge, Regno Unito)
Valutazione libreria
[?]

Descrizione libro Springer, 2016. Paperback. Condizione: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Codice articolo ria9783642015298_lsuk

Informazioni sul venditore | Contattare il venditore

Compra nuovo
EUR 190,34
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 4,43
Da: Regno Unito a: U.S.A.
Destinazione, tempi e costi

6.

Godfrey C. Onwubolu (editor)
Editore: Springer Berlin Heidelberg 2009-06-11, Berlin (2009)
ISBN 10: 3642015298 ISBN 13: 9783642015298
Nuovo Rilegato Quantità: > 20
Da
Blackwell's
(Oxford, OX, Regno Unito)
Valutazione libreria
[?]

Descrizione libro Springer Berlin Heidelberg 2009-06-11, Berlin, 2009. hardback. Condizione: New. Codice articolo 9783642015298

Informazioni sul venditore | Contattare il venditore

Compra nuovo
EUR 190,91
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 6,88
Da: Regno Unito a: U.S.A.
Destinazione, tempi e costi

7.

Godfrey C. Onwubolu
Editore: Springer-Verlag Gmbh Jun 2009 (2009)
ISBN 10: 3642015298 ISBN 13: 9783642015298
Nuovo Quantità: 1
Da
AHA-BUCH GmbH
(Einbeck, Germania)
Valutazione libreria
[?]

Descrizione libro Springer-Verlag Gmbh Jun 2009, 2009. Buch. Condizione: Neu. Neuware - Models form the basis of any decision. They are used in di erent context and for di erent purposes: for identi cation, prediction, classi cation, or control of complex systems. Modeling is done theory-driven by logical-mathematical methods or data-driven based on observational data of the system and some algorithm or software for analyzing this data. Today, this approach is s- marized as Data Mining. There are many Data Mining algorithms known like Arti cial Neural N- works, Bayesian Networks, Decision Trees, Support Vector Machines. This book focuses on another method: the Group Method of Data Handling. - thoughthismethodologyhasnotyetbeenwellrecognizedintheinternational science community asa verypowerfulmathematicalmodeling andknowledge extraction technology, it has a long history. Developed in 1968bythe Ukrainianscientist A.G. Ivakhnenko it combines the black-box approach and the connectionism of Arti cial Neural Networks with well-proven Statistical Learning methods and with more behavior- justi ed elements of inductive self-organization.Over the past 40 years it has been improving and evolving, rst by works in the eld of what was known in the U.S.A. as Adaptive Learning Networks in the 1970s and 1980s and later by signi cantcontributions from scientists from Japan,China, Ukraine, Germany. Many papers and books have been published on this modeling technology, the vast majority of them in Ukrainian and Russian language. 280 pp. Englisch. Codice articolo 9783642015298

Informazioni sul venditore | Contattare il venditore

Compra nuovo
EUR 192,59
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 29,50
Da: Germania a: U.S.A.
Destinazione, tempi e costi

8.

Godfrey C. Onwubolu
Editore: Springer-Verlag Gmbh Jun 2009 (2009)
ISBN 10: 3642015298 ISBN 13: 9783642015298
Nuovo Quantità: 1
Valutazione libreria
[?]

Descrizione libro Springer-Verlag Gmbh Jun 2009, 2009. Buch. Condizione: Neu. Neuware - Models form the basis of any decision. They are used in di erent context and for di erent purposes: for identi cation, prediction, classi cation, or control of complex systems. Modeling is done theory-driven by logical-mathematical methods or data-driven based on observational data of the system and some algorithm or software for analyzing this data. Today, this approach is s- marized as Data Mining. There are many Data Mining algorithms known like Arti cial Neural N- works, Bayesian Networks, Decision Trees, Support Vector Machines. This book focuses on another method: the Group Method of Data Handling. - thoughthismethodologyhasnotyetbeenwellrecognizedintheinternational science community asa verypowerfulmathematicalmodeling andknowledge extraction technology, it has a long history. Developed in 1968bythe Ukrainianscientist A.G. Ivakhnenko it combines the black-box approach and the connectionism of Arti cial Neural Networks with well-proven Statistical Learning methods and with more behavior- justi ed elements of inductive self-organization.Over the past 40 years it has been improving and evolving, rst by works in the eld of what was known in the U.S.A. as Adaptive Learning Networks in the 1970s and 1980s and later by signi cantcontributions from scientists from Japan,China, Ukraine, Germany. Many papers and books have been published on this modeling technology, the vast majority of them in Ukrainian and Russian language. 280 pp. Englisch. Codice articolo 9783642015298

Informazioni sul venditore | Contattare il venditore

Compra nuovo
EUR 192,59
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 12,00
Da: Germania a: U.S.A.
Destinazione, tempi e costi

9.

Godfrey C. Onwubolu
Editore: Springer-Verlag Gmbh Jun 2009 (2009)
ISBN 10: 3642015298 ISBN 13: 9783642015298
Nuovo Quantità: 1
Da
Rheinberg-Buch
(Bergisch Gladbach, Germania)
Valutazione libreria
[?]

Descrizione libro Springer-Verlag Gmbh Jun 2009, 2009. Buch. Condizione: Neu. Neuware - Models form the basis of any decision. They are used in di erent context and for di erent purposes: for identi cation, prediction, classi cation, or control of complex systems. Modeling is done theory-driven by logical-mathematical methods or data-driven based on observational data of the system and some algorithm or software for analyzing this data. Today, this approach is s- marized as Data Mining. There are many Data Mining algorithms known like Arti cial Neural N- works, Bayesian Networks, Decision Trees, Support Vector Machines. This book focuses on another method: the Group Method of Data Handling. - thoughthismethodologyhasnotyetbeenwellrecognizedintheinternational science community asa verypowerfulmathematicalmodeling andknowledge extraction technology, it has a long history. Developed in 1968bythe Ukrainianscientist A.G. Ivakhnenko it combines the black-box approach and the connectionism of Arti cial Neural Networks with well-proven Statistical Learning methods and with more behavior- justi ed elements of inductive self-organization.Over the past 40 years it has been improving and evolving, rst by works in the eld of what was known in the U.S.A. as Adaptive Learning Networks in the 1970s and 1980s and later by signi cantcontributions from scientists from Japan,China, Ukraine, Germany. Many papers and books have been published on this modeling technology, the vast majority of them in Ukrainian and Russian language. 280 pp. Englisch. Codice articolo 9783642015298

Informazioni sul venditore | Contattare il venditore

Compra nuovo
EUR 192,59
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 17,13
Da: Germania a: U.S.A.
Destinazione, tempi e costi

10.

Godfrey C. Onwubolu
Editore: Springer-Verlag Gmbh Jun 2009 (2009)
ISBN 10: 3642015298 ISBN 13: 9783642015298
Nuovo Quantità: 1
Da
BuchWeltWeit Inh. Ludwig Meier e.K.
(Bergisch Gladbach, Germania)
Valutazione libreria
[?]

Descrizione libro Springer-Verlag Gmbh Jun 2009, 2009. Buch. Condizione: Neu. Neuware - Models form the basis of any decision. They are used in di erent context and for di erent purposes: for identi cation, prediction, classi cation, or control of complex systems. Modeling is done theory-driven by logical-mathematical methods or data-driven based on observational data of the system and some algorithm or software for analyzing this data. Today, this approach is s- marized as Data Mining. There are many Data Mining algorithms known like Arti cial Neural N- works, Bayesian Networks, Decision Trees, Support Vector Machines. This book focuses on another method: the Group Method of Data Handling. - thoughthismethodologyhasnotyetbeenwellrecognizedintheinternational science community asa verypowerfulmathematicalmodeling andknowledge extraction technology, it has a long history. Developed in 1968bythe Ukrainianscientist A.G. Ivakhnenko it combines the black-box approach and the connectionism of Arti cial Neural Networks with well-proven Statistical Learning methods and with more behavior- justi ed elements of inductive self-organization.Over the past 40 years it has been improving and evolving, rst by works in the eld of what was known in the U.S.A. as Adaptive Learning Networks in the 1970s and 1980s and later by signi cantcontributions from scientists from Japan,China, Ukraine, Germany. Many papers and books have been published on this modeling technology, the vast majority of them in Ukrainian and Russian language. 280 pp. Englisch. Codice articolo 9783642015298

Informazioni sul venditore | Contattare il venditore

Compra nuovo
EUR 192,59
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 17,13
Da: Germania a: U.S.A.
Destinazione, tempi e costi

Vedi altre 7 copie di questo libro

Vedi tutti i risultati per questo libro