Pijush Samui
Associate Professor, Department of Civil Engineering, NIT Patna, India
Title: Artificial Intelligence (AI) in Civil Engineering
Biography
Biography: Pijush Samui
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.