Conclusion and Future Scope of Work
Paresh Chra Deka · 2019
The use of Artificial Neural Network (ANN) in the field of civil engineering has made solving the complicated problems of modeling and prediction of behavior much easier. ANNs, learning from historical data and capturing the subtle functional relationships which surpassed most empirical and statistical methods already in practice in the field of engineering. In the field of civil engineering, Genetic Algorithm (GA) has been instrumental as an optimization tool dealing with discrete variables and the arbitrary nature of constraints and objectives. Hybridization of soft computing techniques has given a promising future to the development of next generation intelligent systems. The hybridization of GA and ANN, discussed in the earlier chapters, focuses on the complementing nature of soft computing tools which encourages the user to derive the best from these techniques. Soft Computing is an emerging field that consists of complementary elements of fuzzy logic, neural computing, evolutionary computation, machine learning, and probabilistic reasoning.