A Machine Learning and Deep Neural Network Approach in Industrial Control Systems

2022 ◽  
pp. 525-536
Author(s):  
S. Ribu Hassini ◽  
T. Gireesh Kumar ◽  
S. Kowshik Hurshan
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Control Systems ◽  
Deep Neural Network ◽  
Network Approach ◽  
Industrial Control ◽  
Neural Network Approach ◽  
Industrial Control Systems

scholarly journals A Neural Network Approach for Birds of a Feather Solvability Prediction

2019 ◽  
Vol 33 ◽  
pp. 9706-9712
Author(s):  
Benjamin Sang ◽  
Sejong Yoon
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Deep Neural Network ◽  
Machine Learning Method ◽  
Card Game ◽  
Learning Method ◽  
Solution Path ◽  
Network Approach ◽  
Neural Network Approach ◽  
Search Spaces

Birds of a Feather is a single player, perfect information card game. The game can have multiple board sizes with larger boards introducing larger search spaces that grow exponentially. In this paper, we investigate the solvability of the game, aiming at building a machine learning method to automatically classify whether a given board state has a solution path or not. We propose a method based on image-based features of the board state and deep neural network. Experimental results show that the proposed method can make reasonable predictions of the solvability of a game at an arbitrary stage of the game.

scholarly journals Leaf Features Extraction for Plant Classification using CNN

2021 ◽  
pp. 148-154
Author(s):  
Mr. P. Siva Prasad ◽  
Dr. A. Senthilrajan
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Neural Networks ◽  
Deep Learning ◽  
Deep Neural Network ◽  
Research Area ◽  
Network Approach ◽  
Neural Network Approach ◽  
Active Research ◽  
Active Research Area

Deep learning is now an active research area. Deep learning has done a success in computer vision and image recognition. It is a subset of the Machine Learning. In Deep learning, Convolutional Neural Network (CNN) is popular deep neural network approach. In this paper, we have addressed that how to extract useful leaf features automatically from the leaf dataset through Convolutional Neural Networks (CNN) using Deep Learning. In this paper, we have shown that the accuracy obtained by CNN approach is efficient when compared to accuracy obtained by the traditional neural network.

scholarly journals An optimized Deep Neural Network Approach for Vehicular Traffic Noise Trend Modelling

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ahmed Abdulkareem Ahmed ◽  
Biswajeet Pradhan ◽  
Subrata Chakraborty ◽  
Abdullah Alamri ◽  
Chang-Wook Lee
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Traffic Noise ◽  
Vehicular Traffic ◽  
Network Approach ◽  
Neural Network Approach

Validating the impact of accounting disclosures on stock market: A deep neural network approach

2021 ◽  
Vol 170 ◽  
pp. 120903
Author(s):  
Prajwal Eachempati ◽  
Praveen Ranjan Srivastava ◽  
Ajay Kumar ◽  
Kim Hua Tan ◽  
Shivam Gupta
Keyword(s):  
Neural Network ◽  
Stock Market ◽  
Deep Neural Network ◽  
Network Approach ◽  
Neural Network Approach ◽  
Accounting Disclosures ◽  
The Impact
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