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.
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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.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 96 pp. Englisch. Codice articolo 9783659572838
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rotich NicolusMr. 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. Codice articolo 5165694
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. Codice articolo 9783659572838
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783659572838
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Wind resource assessment and forecast with artificial neural networks | Fundamentals from Ab-initio | Nicolus Rotich | Taschenbuch | 96 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659572838 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Codice articolo 105182823
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