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Towards a more efficient and cost-sensitive extreme learning machine: A state-of-the-art review of recent trend
In spite of the prominence of extreme learning machine model, as well as its excellent
features such as insignificant intervention for learning and model tuning, the simplicity of …
features such as insignificant intervention for learning and model tuning, the simplicity of …
[کتاب][B] Complex-valued neural networks
A Hirose - 2006 - Wiley Online Library
Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …
Self regulating particle swarm optimization algorithm
In this paper, we propose a new particle swarm optimization algorithm incorporating the best
human learning strategies for finding the optimum solution, referred to as a Self Regulating …
human learning strategies for finding the optimum solution, referred to as a Self Regulating …
Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review
In recent times, technological advancement boosts the desire of utilizing the autonomous
Unmanned Aerial Vehicle (UAV) in both civil and military sectors. Among various UAVs, the …
Unmanned Aerial Vehicle (UAV) in both civil and military sectors. Among various UAVs, the …
CPS data streams analytics based on machine learning for Cloud and Fog Computing: A survey
Cloud and Fog computing has emerged as a promising paradigm for the Internet of things
(IoT) and cyber–physical systems (CPS). One characteristic of CPS is the reciprocal …
(IoT) and cyber–physical systems (CPS). One characteristic of CPS is the reciprocal …
An online learning method for constructing self-update digital twin model of power transformer temperature prediction
This study was focused on predicting the temperature of power transformers, which is a
critical factor affecting their reliability and efficiency. Existing methods typically use a static …
critical factor affecting their reliability and efficiency. Existing methods typically use a static …
A real-time ship roll motion prediction using wavelet transform and variable RBF network
Real-time prediction of ship roll motion is vital for marine safety and efficiency of operations
onboard the ship. However, ship roll motion is a complex time-varying nonlinear process …
onboard the ship. However, ship roll motion is a complex time-varying nonlinear process …
Multilayer extreme learning machine with subnetwork nodes for representation learning
The extreme learning machine (ELM), which was originally proposed for “generalized”
single-hidden layer feedforward neural networks, provides efficient unified learning …
single-hidden layer feedforward neural networks, provides efficient unified learning …
pClass: an effective classifier for streaming examples
In this paper, a novel evolving fuzzy-rule-based classifier, termed parsimonious classifier
(pClass), is proposed. pClass can drive its learning engine from scratch with an empty rule …
(pClass), is proposed. pClass can drive its learning engine from scratch with an empty rule …
A combination of FA and SRPSO algorithm for combined heat and power economic dispatch
This paper represents a hybrid Firefly and Self-Regulating Particle Swarm Optimization
(FSRPSO) algorithm to solve optimal Combined Heat and Power Economic Dispatch …
(FSRPSO) algorithm to solve optimal Combined Heat and Power Economic Dispatch …