scholarly journals A Hybrid Approach of Facial Emotion Detection using Genetic Algorithm along with Artificial Neural Network

2017 ◽  
Vol 175 (4) ◽  
pp. 1-6 ◽  
Author(s):  
Amrendra Sharan ◽  
Sunil Kumar
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Hybrid Approach ◽  
Facial Emotion ◽  
Emotion Detection ◽  
Artificial Neural

Optimum DNA Curvature Using a Hybrid Approach Involving an Artificial Neural Network and Genetic Algorithm

2000 ◽  
Vol 17 (4) ◽  
pp. 665-672 ◽  
Author(s):  
Rupali V. Parbhane ◽  
Shyam Unniraman ◽  
Sanjeev S. Tambe ◽  
Valkunja Nagaraja ◽  
Bhaskar D. Kulkarni
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Hybrid Approach ◽  
Dna Curvature ◽  
Artificial Neural

Optimization Waiting Time at Berthing Area of Port Container Terminal with Hybrid Genetic Algorithm (GA) and Artificial Neural Network (ANN)

2014 ◽  
Vol 902 ◽  
pp. 431-436 ◽  
Author(s):  
A. Shahpanah ◽  
S. Poursafary ◽  
S. Shariatmadari ◽  
A. Gholamkhasi ◽  
S.M. Zahraee
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Waiting Time ◽  
Container Terminal ◽  
Hybrid Approach ◽  
Simulation Software ◽  
Optimum Number ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

A queuing network model related to arrival, departure and berthing process of ships at port container terminal is presented in this paper. The important datas collected from PTP port container terminal located at Malaysia. Based on the case study the model was built with using Arena 13.5 simulation software. Especially this study proposes a hybrid approach consisting of Genetic algorithm (GA), Artificial Neural Network (ANN) to find the the optimum number of equipments at berthing area of port container terminal. The input data that used in ANN obtained from Arena results. The main goal of this study is reduced waiting time of each ship at port container terminal, and Based on the result the optimum waiting time 50 will be achieved.

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