research
∙
02/28/2022
Rule-based Evolutionary Bayesian Learning
In our previous work, we introduced the rule-based Bayesian Regression, ...
share
research
∙
11/07/2021
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
Recent advances in machine learning, coupled with low-cost computation, ...
research
∙
08/02/2020
Rule-based Bayesian regression
We introduce a novel rule-based approach for handling regression problem...
research
∙
07/23/2020
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation
Non-intrusive reduced-order models (ROMs) have recently generated consid...
research
∙
07/10/2020
Numerical simulation, clustering and prediction of multi-component polymer precipitation
Multi-component polymer systems are of interest in organic photovoltaic ...
research
∙
03/13/2020
Data-driven surrogate modelling and benchmarking for process equipment
A suite of computational fluid dynamics (CFD) simulations geared towards...
research
∙
02/05/2018
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...
research
∙
01/28/2018
Evolving Chaos: Identifying New Attractors of the Generalised Lorenz Family
In a recent paper, we presented an intelligent evolutionary search techn...
research
∙
03/29/2017
Marginal likelihood based model comparison in Fuzzy Bayesian Learning
In a recent paper [1] we introduced the Fuzzy Bayesian Learning (FBL) pa...
research
∙
11/29/2016
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...
research
∙
11/29/2016
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...
research
∙
11/29/2016
Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization
Fractional order proportional-integral-derivative (FOPID) controllers ar...
research
∙
11/29/2016
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...
research
∙
11/29/2016
Fractional Order AGC for Distributed Energy Resources Using Robust Optimization
The applicability of fractional order (FO) automatic generation control ...
research
∙
10/28/2016
Fuzzy Bayesian Learning
In this paper we propose a novel approach for learning from data using r...
research
∙
03/03/2014
Global solar irradiation prediction using a multi-gene genetic programming approach
In this paper, a nonlinear symbolic regression technique using an evolut...
research
∙
01/05/2013
Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms
Decentralized PID controllers have been designed in this paper for simul...
research
∙
12/13/2012
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...
research
∙
08/01/2012
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...
research
∙
05/08/2012
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...
research
∙
02/25/2012