Artificial Neural Networks for Engineering Applications

Artificial Neural Networks for Engineering Applications presents current trends for solving complex engineering problems through modeling, pattern recognition, classification, forecasting, estimation, and more. It includes real-time implementations and theory for various applications, such as 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.

\n Format: Paperback / softback
\n Length: 176 pages
\n Publication date: 13 February 2019
\n Publisher: Elsevier Science Publishing Co Inc
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Artificial Neural Networks for Engineering Applications is a comprehensive guide that delves into the latest trends and methodologies for solving complex engineering problems that traditional approaches cannot address. This book offers a wide range of applications, including modeling, pattern recognition, classification, forecasting, estimation, and more. By presenting diverse methodologies, readers can explore various solutions for diverse problems, such as complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of unmanned aerial vehicles (UAVs), biomechanical and biomedical systems, time series forecasting, biofuels, and many others. In addition to real-time implementations, the book provides a thorough theoretical foundation that enables readers to apply these methodologies effectively across a wide range of applications. Whether you are a researcher, engineer, or practitioner seeking innovative solutions to challenging engineering problems, Artificial Neural Networks for Engineering Applications is an essential resource that will empower you to push the boundaries of what is possible.

\n Weight: 340g\n
Dimension: 190 x 234 x 16 (mm)\n
ISBN-13: 9780128182475\n \n