Neuro-fuzzy Techniques and Natural Risk Management. Applications of ANFIS Models in Floods and Comparison with Other Models

2020 ◽  
pp. 169-189 ◽  
Author(s):  
Georgios K. Tairidis ◽  
Nikola Stojanovic ◽  
Dusan Stamenkovic ◽  
Georgios E. Stavroulakis
Keyword(s):  
Risk Management ◽  
Natural Risk ◽  
Neuro Fuzzy ◽  
Fuzzy Techniques

Prediction of Machinability characteristics of Ti6Al4V alloy using Neural Networks and Neuro-Fuzzy techniques

2018 ◽  
Vol 5 (2) ◽  
pp. 8454-8463 ◽  
Author(s):  
N. Harsha ◽  
I. Ajit Kumar ◽  
K. Sita Rama Raju ◽  
S. Rajesh
Keyword(s):  
Neural Networks ◽  
Ti6al4v Alloy ◽  
Neuro Fuzzy ◽  
Fuzzy Techniques

scholarly journals Short-term and long-term thermal prediction of a walking beam furnace using neuro-fuzzy techniques

2015 ◽  
Vol 19 (2) ◽  
pp. 703-721 ◽  
Author(s):  
Hamed Banadaki ◽  
Hasan Nozari ◽  
Mahdi Shoorehdeli
Keyword(s):  
Short Term ◽  
Neuro Fuzzy ◽  
Fuzzy Techniques

scholarly journals Games Ready to Use: A Serious Game for Teaching Natural Risk Management

2018 ◽  
Vol 49 (4) ◽  
pp. 441-470 ◽  
Author(s):  
Franck Taillandier ◽  
Carole Adam
Keyword(s):  
Risk Management ◽  
Engineering Students ◽  
Well Being ◽  
Serious Game ◽  
Natural Risk ◽  
Agent Based ◽  
Traditional Course ◽  
Multi Agent ◽  
The University ◽  
Future Work

Background.Risk management, and in particular the management of natural hazards and territorial risks has become an essential skill for civil engineers. Teaching risk management to engineering students is therefore crucial, but is also challenging: it looks too abstract to students, and practical works are complex and expensive to organise. It also involves interconnected mechanisms coupling human and technical aspects, that are difficult to explain. Aim. The challenge is then to propose a serious game able to support the teaching of territorial risk management to engineering students. As part of their curriculum, these students are expected to learn various concepts and notions: territorial risk, vulnerability of a territory, resilience, risk perception, multi-criteria analysis and balanced management. Method. In order to support risk management teaching, we propose SPRITE, an agent-based serious game using a concrete case study which is exemplary in terms of risk management: the coastal floods on the Oleron Island (France). SPRITE places the player (the student) in the role of a local councillor of the Oleron Island, who must ensure the safety and well-being of the island residents, while maximising performance with respect to economic and environmental issues, in a context of coastal flood risk. Results. The model is fully implemented in GAMA, an open-source multi-agent geographical simulation platform, and the game is already playable. It was used at the University of Bordeaux in a course on risk management dedicated to students in the Master of Geology and Civil Engineering. The evaluation of engagement and motivation with the game and learning from playing is very positive. Conclusions. The results from the game evaluation are encouraging. Short term future work will mainly be dedicated to pursuing this evaluation, and comparing results between students using SPRITE vs students following a more traditional course. Longer term prospects include several improvements of the model and the interface and implemented multiplayer features.

Investigation of the Dilution of Outfall Discharges Using Computational and Neuro-Fuzzy Techniques

2007 ◽  
Author(s):  
Ahmed F. Abdel Gawad
Keyword(s):  
Nile Delta ◽  
Open Channels ◽  
Computational Results ◽  
Fuzzy Approach ◽  
Fuzzy Models ◽  
Neuro Fuzzy ◽  
Circular Jets ◽  
Fuzzy Techniques ◽  
Comprehensive Study

This paper represents a comprehensive study of the dilution of multiple outfall discharges. The discharges emerge from the passage bottom in the form of circular jets. The investigation is concerned with the bounded water passages (open channels). These water passages are frequently found in the Nile delta in Egypt. Moreover, a neuro-fuzzy approach is proposed to predict important characteristics of the dilution process. The main objective is to use the computational results to train the neuro-fuzzy models. Useful conclusions and suggestions are drawn from the present investigation.

Prediction of performance and emission parameters of Kusum biodiesel based diesel engine using neuro-fuzzy techniques combined with genetic algorithm

Fuel ◽  
2020 ◽  
Vol 280 ◽  
pp. 118629 ◽  
Author(s):  
Nishant Kumar Singh ◽  
Yashvir Singh ◽  
Abhishek Sharma ◽  
Erween Abd Rahim
Keyword(s):  
Genetic Algorithm ◽  
Diesel Engine ◽  
Performance And Emission ◽  
Neuro Fuzzy ◽  
Fuzzy Techniques
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