Intelligent decision-making model in preventive maintenance of asphalt pavement based on PSO-GRU neural network

2022 ◽  
Vol 51 ◽  
pp. 101525
Author(s):  
Jiale Li ◽  
Zhishuai Zhang ◽  
Xuefei Wang ◽  
Weixi Yan
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Preventive Maintenance ◽  
Asphalt Pavement ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Decision Making Model

scholarly journals Critical Decision Making Using Neural Networks

2018 ◽  
Vol 7 (4.10) ◽  
pp. 15 ◽  
Author(s):  
Rajat Bhati ◽  
Shubham Saraff ◽  
Chhandak Bagchi ◽  
V. Vijayarajan
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Decision Making ◽  
Emotional Intelligence ◽  
Final Decision ◽  
Computing Systems ◽  
Intelligent Decision Making ◽  
The Neural Network ◽  
Intelligent Decision ◽  
Car Accident

Decision Making influenced by different scenarios is an important feature that needs to be integrated in the computing systems. In this paper, the system takes prompt decisions in emotionally motivated use-cases like in an unavoidable car accident. The system extracts the features from the available visual and processes it in the Neural network. In addition to that the facial recognition plays a key role in returning factors critical to the scenario and hence alter the final decision. Finally, each recognized subject is categorized into six distinct classes which is utilised by the system for intelligent decision-making. Such a system can form the basis of dynamic and intelligent decision-making systems of the future which include elements of emotional intelligence.  

Research on Intelligent Decision-Making System of Variable Spraying for Mobile Robot in Greenhouse

2012 ◽  
Vol 241-244 ◽  
pp. 1835-1838
Author(s):  
Guo Qin Gao ◽  
Hai Yan Zhou ◽  
Xue Mei Niu ◽  
Zhi Ming Fang
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Mobile Robot ◽  
Fuzzy Neural Network ◽  
Plant Diseases ◽  
Chemical Pollution ◽  
Utilization Rate ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Fuzzy Neural

In order to improve the pesticide effective utilization rate and reduce the pesticide residues and the chemical pollution, an intelligent decision-making method for variable spraying of mobile robot based on a fuzzy neural network is proposed. The system is built by integrating the level of plant diseases and insect pests and the spraying target’s distance and area. The intelligent decision-making is achieved by self-learning and self-correcting the fuzzy rules of the fuzzy neural network. The simulation experiment results show that the intelligent decision-making method can realize real-time and quick decision. It has the greater decision accuracy than the fuzzy decision system on the samples not appearing in training and has a good fit for the uncertain work environment in greenhouse.

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