Scientific Program

Conference Series Ltd invites all the participants across the globe to attend 3rd International Conference on Civil Engineering, Architecture and Structural Materials Munich, Germany.

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Scientific Program Day 1

Day 1 :

Keynote Forum

Pijush Samui

Associate Professor, Department of Civil Engineering, NIT Patna, India

Keynote: Artificial Intelligence (AI) in Civil Engineering
Conference Series Civil Engineering 2020 International Conference Keynote Speaker Pijush Samui photo
Biography:

Pijush Samui graduated in 2000, with a B.Tech. in Civil Engineering from Indian Institute of Engineering Science and Technology, Shibpur, India. He received his M.Sc. in Geotechnical Earthquake Engineering from Indian Institute of Science, Bangalore, India (2004). He holds a Ph.D. in Geotechnical Earthquake Engineering (2008) from Indian Institute of Science, Bangalore, India. He has published more than 100 international journal papers. He has also authored several books (https://www.amazon.in/PijushSamui/e/B075CD298H?ref=sr_ntt_srch_lnk_2&qid=1575968652&sr=8-2). He also serves as an editorial board member in several international journals. He has
been selected as an adjunct professor at Ton Duc Thang University (Ho Chi Minh City, Vietnam). He has been Visiting Professor at Far East Federal University (Russia).

Abstract:

AI explores and investigates various kinds of intelligent behaviour by attempting to create it in the artificial. According to Marvin Minsky, AI is a science of how to persuade computers to exhibit such a type of behaviour that conventionally requires Human Intelligence. The aim of this lecture will discuss the application of different AI techniques {Artificial Neural Network(ANN), Support Vector Machine(SVM), Least Square Support Vector Machine(LSSVM), Genetic Programing(GP), Relevance Vector Machine(RVM), Multivariate Adaptive Regression Spline(MARS), Extreme Learning Machine(ELM), Adaptive Neuro Fuzzy Inference System(ANFIS), Minimax Probability Machine Regression(MPMR), Gaussian Process Regression(GPR), Adaptive Neuro Fuzzy Inference System(ANFIS), functional network(FN) and emotional neural network(ENN)} in the different fields of civil engineering such as geotechnical engineering, structure, water resource, environmental engineering, transportation engineering, earthquake engineering, reliability engineering, etc. The performance of AI techniques will be compared with the other techniques. Many AI techniques will give the solution of a particular problem in form of equation. Sensitivity analysis will be done to determine the effects of inputs of a particular problem. The details methodologies of various AI techniques will be discussed. The advantages of different AI techniques will be described. Examples will be given to show the use of AI techniques in Matlab Environment.