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Artificial Neural Networks for Engineering Applications

Engelsk Paperback

Artificial Neural Networks for Engineering Applications

Engelsk Paperback
Tjek vores konkurrenters priser
Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications.
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Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications.
Produktdetaljer
Sprog: Engelsk
Sider: 176
ISBN-13: 9780128182475
Indbinding: Paperback
Udgave:
ISBN-10: 0128182474
Udg. Dato: 13 feb 2019
Længde: 16mm
Bredde: 234mm
Højde: 190mm
Forlag: Elsevier Science Publishing Co Inc
Oplagsdato: 13 feb 2019
Forfatter(e):
Forfatter(e)


Kategori Neurale net og fuzzy systemer


ISBN-13 9780128182475


Sprog Engelsk


Indbinding Paperback


Sider 176


Udgave


Længde 16mm


Bredde 234mm


Højde 190mm


Udg. Dato 13 feb 2019


Oplagsdato 13 feb 2019


Forlag Elsevier Science Publishing Co Inc

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