Artificial Neural Network for Civil Engineering

ISBN-13: 9786206144250 / Angielski / Miękka / 92 str.

Shahide Dehghan; Hossein Norouzi; Hossein Gholami

Opis

In recent years, artificial neural networks (ANN) and artificial intelligence (AI), in general, have garnered significant attention with respect to their applications in several scientific fields, varying from big data management to medical diagnosis. ANN techniques are already used in everyday applications, such as personalized advertisements, virtual assistants, autonomous driving, etc. The start of regeneration breakthroughs in ANNs can be traced back to the year 2005 and can be attributed to the development of novel learning architectures such as convolutional neural networks (CNN) and deep belief networks (DBN), with significant progress having been achieved so far and new methodologies having been proposed, such as generative adversarial networks (GAN). At present, ANN-based models are widely used in several forms of engineering applications.

O autorze

Shahide Dehghan, Ph.D., Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran. Technical Skills are Climatology, Statistical Analysis, Geography, Geo-Natural Hazards, Geomorphology, Factor Analysis, Data Analysis, Climate Change, Atmosphere, Global Warming, Climate Sciences, Insurance Investment.