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Rule-based Bayesian regression
We introduce a novel rule-based approach for handling regression problem...
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Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation
Non-intrusive reduced-order models (ROMs) have recently generated consid...
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Numerical simulation, clustering and prediction of multi-component polymer precipitation
Multi-component polymer systems are of interest in organic photovoltaic ...
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Data-driven surrogate modelling and benchmarking for process equipment
A suite of computational fluid dynamics (CFD) simulations geared towards...
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Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor
In this paper, multi-layer feed forward neural networks are used to pred...
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Evolving Chaos: Identifying New Attractors of the Generalised Lorenz Family
In a recent paper, we presented an intelligent evolutionary search techn...
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Marginal likelihood based model comparison in Fuzzy Bayesian Learning
In a recent paper [1] we introduced the Fuzzy Bayesian Learning (FBL) pa...
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Multi-objective Active Control Policy Design for Commensurate and Incommensurate Fractional Order Chaotic Financial Systems
In this paper, an active control policy design for a fractional order (F...
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Fractional Order Fuzzy Control of Hybrid Power System with Renewable Generation Using Chaotic PSO
This paper investigates the operation of a hybrid power system through a...
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Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization
Fractional order proportional-integral-derivative (FOPID) controllers ar...
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Symbolic Representation for Analog Realization of A Family of Fractional Order Controller Structures via Continued Fraction Expansion
This paper uses the Continued Fraction Expansion (CFE) method for analog...
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Fractional Order AGC for Distributed Energy Resources Using Robust Optimization
The applicability of fractional order (FO) automatic generation control ...
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Fuzzy Bayesian Learning
In this paper we propose a novel approach for learning from data using r...
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Global solar irradiation prediction using a multi-gene genetic programming approach
In this paper, a nonlinear symbolic regression technique using an evolut...
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Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms
Decentralized PID controllers have been designed in this paper for simul...
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Identification of Nonlinear Systems From the Knowledge Around Different Operating Conditions: A Feed-Forward Multi-Layer ANN Based Approach
The paper investigates nonlinear system identification using system outp...
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Artificial Neural Network Based Prediction of Optimal Pseudo-Damping and Meta-Damping in Oscillatory Fractional Order Dynamical Systems
This paper investigates typical behaviors like damped oscillations in fr...
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Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system
In this paper, a fractional order (FO) PIλDμ controller is designed to t...
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Improved Model Reduction and Tuning of Fractional Order PIλDμ Controllers for Analytical Rule Extraction with Genetic Programming
Genetic Algorithm (GA) has been used in this paper for a new approach of...
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