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Evolving intelligent system

The term Evolving Intelligent Systems (EIS) was coined in 2005 by Angelov and Kasabov, to define the new approach which focuses on learning… Expand
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Related topics

Related topics

6 relations
Active learning (machine learning)Evolutionary algorithmEvolutionary computationIncremental heuristic search
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Broader (1)

Artificial intelligence

Papers overview

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2019
2019
Online identification of a rotary wing Unmanned Aerial Vehicle from data streams
Abstract Until now the majority of the neuro and fuzzy modeling and control approaches for rotary wing Unmanned Aerial Vehicles… Expand
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2018
2018
High Impedance Fault Detection in Time-Varying Distributed Generation Systems Using Adaptive Neural Networks
Detection and location of high impedance faults in power distribution systems by means of online condition monitoring and… Expand
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2018
2018
A novel algorithm for the modeling of complex processes
In this investigation, a novel algorithm is developed in a neural network for the modeling of complex processes. It presents a… Expand
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2018
2018
An Online RFID Localization in the Manufacturing Shopfloor
Radio Frequency Identification technology has gained popularity for cheap and easy deployment. In the realm of manufacturing… Expand
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2017
2017
USNFIS: Uniform stable neuro fuzzy inference system
Abstract The algorithms utilized for the big data learning must satisfy three conditions to improve the performance in the… Expand
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2017
2017
PANFIS++: A Generalized Approach to Evolving Learning
The concept of evolving intelligent system (EIS) provides an effective avenue for data stream mining because it is capable of… Expand
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2017
2017
Evolving fuzzy inference system based online identification and control of a quadcopter unmanned aerial vehicle
Among different rotary wing unmanned aerial vehicles; quadcopters are used most commonly in both civil and military sector… Expand
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2016
2016
Evolving type-2 recurrent fuzzy neural network
Evolving intelligent system (EIS) is a machine learning algorithm, specifically designed to deal with learning from large data… Expand
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2014
2014
Evolving intelligent system for the modelling of nonlinear systems with dead-zone input
In this paper, the modelling problem of nonlinear systems with dead-zone input is considered. To solve this problem, an evolving… Expand
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2005
2005
Evolving computational intelligence systems
A new generation of computational intelligent systems is introduced in a generic framework of the evolving computational… Expand
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