2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
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9781509025831

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Evolving iterative methods for simultaneous identification and control

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502368 ◽

2016 ◽

Author(s):

Laszlo Keviczky ◽

Csilla Banyasz

Keyword(s):

Iterative Methods ◽

And Control ◽

Simultaneous Identification

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Back cover

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502360 ◽

2016 ◽

Keyword(s):

Back Cover

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2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502361 ◽

2016 ◽

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Evolving possibilistic fuzzy modeling for equity options pricing

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502372 ◽

2016 ◽

Author(s):

Leandro Maciel ◽

Rosangela Ballini ◽

Fernando Gomide

Keyword(s):

Fuzzy Modeling ◽

Options Pricing ◽

Equity Options

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Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502509 ◽

2016 ◽

Cited By ~ 5

Author(s):

Xiaowei Gu ◽

Plamen P. Angelov ◽

Azliza Mohd Ali ◽

William A. Gruver ◽

Georgi Gaydadjiev

Keyword(s):

Prediction Model ◽

High Frequency ◽

Data Stream ◽

Fuzzy Rule ◽

Financial Data ◽

High Frequency Trading ◽

Rule Based

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A stochastic adaptive genetic algorithm for solving unconstrained multimodal numerical problems

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502503 ◽

2016 ◽

Cited By ~ 1

Author(s):

Egidio Carvalho ◽

Omar Andres Carmona Cortes ◽

Joao Pedro Costa ◽

Andrew Rau-Chaplin

Keyword(s):

Genetic Algorithm ◽

Adaptive Genetic Algorithm

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Achieving semi-supervised incremental learning with Learn++ and simple recycled selection

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502504 ◽

2016 ◽

Author(s):

Frederico Damasceno Bortoloti ◽

Patrick Marques Ciarelli

Keyword(s):

Incremental Learning

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Comparison of different approaches for lead acid battery state of health estimation based on artificial neural networks algorithms

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502495 ◽

2016 ◽

Cited By ~ 3

Author(s):

Thais Tossoli de Sousa ◽

Vitor Torquato Arioli ◽

Cesar Sobral Vieira ◽

Sender Rocha dos Santos ◽

Alex Pereira Franca

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

State Of Health ◽

Lead Acid Battery ◽

Artificial Neural ◽

Lead Acid

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Sensor drift compensation using weighted neural networks

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502497 ◽

2016 ◽

Cited By ~ 1

Author(s):

Thiago Wiezbicki ◽

Eduardo Parente Ribeiro

Keyword(s):

Neural Networks ◽

Sensor Drift ◽

Drift Compensation

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Learning unfair trading: A market manipulation analysis from the reinforcement learning perspective

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) ◽

10.1109/eais.2016.7502499 ◽

2016 ◽

Cited By ~ 9

Author(s):

Enrique Martinez-Miranda ◽

Peter McBurney ◽

Matthew J. W. Howard

Keyword(s):

Reinforcement Learning ◽

Market Manipulation

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2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Evolving iterative methods for simultaneous identification and control

Back cover

Table of contents

Evolving possibilistic fuzzy modeling for equity options pricing

Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream

A stochastic adaptive genetic algorithm for solving unconstrained multimodal numerical problems

Achieving semi-supervised incremental learning with Learn++ and simple recycled selection

Comparison of different approaches for lead acid battery state of health estimation based on artificial neural networks algorithms

Sensor drift compensation using weighted neural networks

Learning unfair trading: A market manipulation analysis from the reinforcement learning perspective

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2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Evolving iterative methods for simultaneous identification and control

Back cover

Table of contents

Evolving possibilistic fuzzy modeling for equity options pricing

Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream

A stochastic adaptive genetic algorithm for solving unconstrained multimodal numerical problems

Achieving semi-supervised incremental learning with Learn++ and simple recycled selection

Comparison of different approaches for lead acid battery state of health estimation based on artificial neural networks algorithms

Sensor drift compensation using weighted neural networks

Learning unfair trading: A market manipulation analysis from the reinforcement learning perspective

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
Latest Publications