scholarly journals Intelligent Decision-Making Technology for Choice MVC Models using Neural Networks

2020 ◽  
Vol 9 (3) ◽  
pp. 3184-3187
Author(s):  
Krasyukova N.L
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Intelligent Decision Making ◽  
Intelligent Decision

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.  

scholarly journals DEVELOPMENT OF INTELLIGENT DECISION MAKING MODEL FOR STOCK MARKETS

2005 ◽  
Vol 1 ◽  
pp. 55
Author(s):  
Jovita Nenortaite ◽  
Rimvydas Simutis
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Stock Returns ◽  
Investment Decisions ◽  
Pso Algorithm ◽  
Experimental Investigations ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
One Step ◽  
Decision Making Model

This paper is focused on the development of intelligent decision making model which is based on the application of artificial neural networks (ANN) and swarm intelligence technologies. The proposed model is used to generate one-step forward investment decisions. The ANN are used to make the analysis of historical stock returns and to calculate one day forward possible profit, which could be get while following the model proposed decisions, concerning the purchase of the stocks. Subsequently the Particle Swarm Optimization (PSO) algorithm is applied in order to select the „global best” ANNs for the future investment decisions and to adapt the weights of other networks towards the weights of the best network. The experimental investigations were made considering different number of neural networks, moving time intervals and commission fees. The experimental results presented in the paper show that the application of our proposed methodology lets to achieve better results than the average of the market.

Study on the intelligent decision making of soccer robot side-wall behavior

2007 ◽  
Author(s):  
Xiaochuan Zhang ◽  
Guifang Shao ◽  
Zhi Tan ◽  
Zushu Li
Keyword(s):  
Decision Making ◽  
Side Wall ◽  
Soccer Robot ◽  
Intelligent Decision Making ◽  
Intelligent Decision

Intelligent decision-making through a simulation of evolution

1965 ◽  
Vol HFE-6 (1) ◽  
pp. 13-23 ◽  
Author(s):  
L. J. Fogel ◽  
A. J. Owens ◽  
M. J. Walsh
Keyword(s):  
Decision Making ◽  
Intelligent Decision Making ◽  
Intelligent Decision
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