4th International Conference on Machine Learning and Soft Computing (MLSC 2023)
January 28 ~ 29, 2023, Copenhagen, Denmark
https://acsty2023.org/mlsc/index
Submission Deadline: December 24, 2022
Contact Us
Here's where you can reach us : mlsc@acsty2023.org or mlsc.conf@yahoo.com
https://acsty2023.org/submission/index.php
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ISSN: 2229 - 6735 [Online]; 2229 - 7103 [Print]
https://airccse.org/journal/ijsc/ijsc.html
Submission Deadline: December 31, 2022
Contact Us: ijscjournal@yahoo.com or ijsc@aircconline.com
Paper Submission URL - http://coneco2009.com/submissions/imagination/home.html
#Datavisualization #Probabilisticreasoning #Roughsets #Patternrecognition #Machinelearning
T. P. Singh and Suraiya Jabin, Jamia Millia Islamia (Central University), India
ABSTRACT
In this paper, implementation of a genetic algorithm has been described to store and later, recall of some prototype patterns in Hopfield neural network associative memory. Various operators of genetic algorithm (mutation, cross-over, elitism etc) are used to evolve the population of optimal weight matrices for the purpose of storing the patterns and then recalling of the patterns with induced noise was made, again using a genetic algorithm. The optimal weight matrices obtained during the training are used as seed for starting the GA in recalling, instead starting with random weight matrix. A detailed study of the comparison of results thus obtained with the earlier results has been done. It has been observed that for Hopfield neural networks, recall of patterns is more successful if evolution of weight matrices is applied for training purpose also.
KEYWORDS
Hopfield Neural Network, genetic algorithm, associative memory, weight matrices, population generation technique, fitness function
Original Source URL: https://airccse.org/journal/ijsc/papers/3211ijsc05.pdf
https://airccse.org/journal/ijsc/current2012.html
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Contact Us: ijscjournal@yahoo.com or ijsc@aircconline.com
Submission System: http://coneco2009.com/submissions/imagination/home.html
#hopfieldneuralnetwork #geneticalgorithm #associativememory #fitnessfunction #populationgeneration
#softcomputing #chaostheory #bioinformatics #robotics #machinelearning #FuzzyLogic
International Journal on Soft Computing ( IJSC )
ISSN: 2229 - 6735 [Online] ; 2229 - 7103 [Print]
https://airccse.org/journal/ijsc/ijsc.html
Submission Deadline : December 17, 2022
Contact Us: ijscjournal@yahoo.com or ijsc@aircconline.com
Paper Submission URL - http://coneco2009.com/submissions/imagination/home.html
ISSN: 2229 - 6735 [Online] ; 2229 - 7103 [Print]
https://airccse.org/journal/ijsc/ijsc.html
Submission Deadline: December 17, 2022
Contact Us: ijscjournal@yahoo.com or ijsc@aircconline.com
Paper Submission URL - http://coneco2009.com/submissions/imagination/home.html
B. F. Momin1 and Parag P. Abhyankar2,1WCE,India and 2Finolex Academy, India
ABSTRACT
Working in monotonous environment often causes lack of concentration or fatigue in an operator and many times such non-vigilance leads to accidents. Therefore early detection of fatigued state has become essential in monotonous working environments like driving vehicle, operating machines etc. Such fatigued state often gets developed gradually and can be identified by certain symptoms. Different types of symptoms help in modelling non-vigilance in different ways. This paper reviews and compares current status of research in modelling fatigue where fatigue is modelled using probabilistic models, machine learning models, finite state machine etc. The paper also presents possible future research directions in the same field like identifying non-fatigue non-vigilance mental states, extending non-vigilance monitoring for mass audience etc.
KEYWORDS
Vigilance Monitoring, Fatigue Modelling, Physiological, Behavioural and Visual Measure, Machine Learning.
Original Source URL: https://airccse.org/journal/ijsc/papers/3211ijsc04.pdf
https://airccse.org/journal/ijsc/current2012.html
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Contact Us: ijscjournal@yahoo.com or ijsc@aircconline.com
Submission System: http://coneco2009.com/submissions/imagination/home.html
#vigilancemonitoring #fatiguemodelling #physiological #visualmeasure #machinelearning
4th International Conference on Machine Learning and Soft Computing (MLSC 2023)
January 28 ~ 29, 2023, Copenhagen, Denmark
https://acsty2023.org/mlsc/index
Submission Deadline: December 10, 2022
Contact Us
Here's where you can reach us : mlsc@acsty2023.org or mlsc.conf@yahoo.com
https://acsty2023.org/submission/index.php
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Selvan Simon1 and Arun Raoo2,1SNDT Women's University, India and 2National Institute of Industrial Engineering, India
ABSTRACT
Globalization has made the stock market prediction (SMP) accuracy more challenging and rewarding for the researchers and other participants in the stock market. Local and global economic situations along with the company’s financial strength and prospects have to be taken into account to improve the prediction accuracy. Artificial Neural Networks (ANN) has been identified to be one of the dominant data mining techniques in stock market prediction area. In this paper, we survey different ANN models that have been experimented in SMP with the special enhancement techniques used with them to improve the accuracy. Also, we explore the possible research strategies in this accuracy driven ANN models.
KEYWORDS
Artificial Neural Networks, Multilayer Perceptron, Back Propagation, Stock market prediction & Prediction accuracy.
Original Source URL: https://airccse.org/journal/ijsc/papers/3211ijsc03.pdf
https://airccse.org/journal/ijsc/current2012.html
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Contact Us: ijscjournal@yahoo.com or ijsc@aircconline.com
Submission System: http://coneco2009.com/submissions/imagination/home.html
#ArtificialNeuralNetworks #multilayerperceptron #Backpropagation #stockmarketprediction #predictionaccuracy
International Journal on Soft Computing (IJSC) ISSN: 2229 - 6735 [Online]; 2229 - 7103 [Print] https://airccse.org/journal/ijsc/ijsc.html He...
