Wind resource assessment and forecast with artificial neural networks: Fundamentals from Ab-initio - Couverture souple

Rotich, Nicolus

 
9783659572838: Wind resource assessment and forecast with artificial neural networks: Fundamentals from Ab-initio
Couverture souple
ISBN 10 : 3659572837 ISBN 13 : 9783659572838
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

The basics of artificial neural networks (ANN), applications, and implementation, are examined. The book targets multidisciplinary audience and explains the principles of neural networks in the simplest terminology. With the advent of computer software platforms in the market, no previous high level mathematical skills are required to implement an ANN project, except for basic algebra skills, and calculus. The book is also essential for industry professionals seeking to improve their production processes. Luckily with ANN, models and even complete software can be built with available data of a process, machine, business activity, or a natural phenomenon. The two important observations about neural networks are: data quantity is as important as the data quality. You need enough data that will allow the network to ‘learn’. Secondly, neural networks are ‘black box’ models and can replace ‘traditional’ programming, but not the human brain; you still need to interpret the results. The book is therefore an eye opener for curious readers on the current paradigm shift from ‘traditional’ programming to a versatile, efficient world of algorithms in tackling most of the 21st century problems.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The basics of artificial neural networks (ANN), applications, and implementation, are examined. The book targets multidisciplinary audience and explains the principles of neural networks in the simplest terminology. With the advent of computer software platforms in the market, no previous high level mathematical skills are required to implement an ANN project, except for basic algebra skills, and calculus. The book is also essential for industry professionals seeking to improve their production processes. Luckily with ANN, models and even complete software can be built with available data of a process, machine, business activity, or a natural phenomenon. The two important observations about neural networks are: data quantity is as important as the data quality. You need enough data that will allow the network to ‘learn’. Secondly, neural networks are ‘black box’ models and can replace ‘traditional’ programming, but not the human brain; you still need to interpret the results. The book is therefore an eye opener for curious readers on the current paradigm shift from ‘traditional’ programming to a versatile, efficient world of algorithms in tackling most of the 21st century problems.

Biographie de l'auteur

Mr. Nicolus Rotich is a dedicated scholar with a diverse background in the fields of technical sciences. He got his bachelor's in Chemical Engineering from Moi University, Kenya in the year 2007, and a Master of Science in Technology, from Lappeenranta University (LUT), Finland in 2012. He is now a PhD fellow and graduate assistant at LUT.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659572837
ISBN 13 
9783659572838
Reliure
Broché
Nombre de pages
96
Coordonnées du fabricant
non disponible
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