Recent advances in neuro-fuzzy system: A survey
KV Shihabudheen, GN Pillai - Knowledge-Based Systems, 2018 - Elsevier
Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …
and engineering areas due to its effective learning and reasoning capabilities. The neuro …
Fully complex-valued dendritic neuron model
A single dendritic neuron model (DNM) that owns the nonlinear information processing
ability of dendrites has been widely used for classification and prediction. Complex-valued …
ability of dendrites has been widely used for classification and prediction. Complex-valued …
An improved fast fuzzy c-means using crow search optimization algorithm for crop identification in agricultural
In this article is introduced an improved version of Fast Fuzzy C-Means (FFCM) by using the
Crow Search optimization Algorithm (CSA) for the task of data clustering. In the proposed …
Crow Search optimization Algorithm (CSA) for the task of data clustering. In the proposed …
A finite-time convergent neural dynamics for online solution of time-varying linear complex matrix equation
L Xiao - Neurocomputing, 2015 - Elsevier
This paper proposes and investigates a finite-time convergent neural dynamics (FTCND) for
online solution of time-varying linear complex matrix equation in complex domain. Different …
online solution of time-varying linear complex matrix equation in complex domain. Different …
Asymptotic stability of delayed fractional-order fuzzy neural networks with impulse effects
In this paper, we investigate the asymptotic stability of fractional-order fuzzy neural networks
with fixed-time impulse and time delay. According to the fractional Barbalat's lemma …
with fixed-time impulse and time delay. According to the fractional Barbalat's lemma …
An evolving interval type-2 neurofuzzy inference system and its metacognitive sequential learning algorithm
AK Das, K Subramanian… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we propose an evolving interval type-2 neurofuzzy inference system (IT2FIS)
and its fully sequential learning algorithm. IT2FIS employs interval type-2 fuzzy sets in the …
and its fully sequential learning algorithm. IT2FIS employs interval type-2 fuzzy sets in the …
A novel recurrent neural network and its finite-time solution to time-varying complex matrix inversion
L Xiao, Y Zhang, K Li, B Liao, Z Tan - Neurocomputing, 2019 - Elsevier
A complex-valued nonlinear recurrent neural network is designed and researched for time-
varying matrix inversion solving in complex field. Unlike the design methods of the …
varying matrix inversion solving in complex field. Unlike the design methods of the …
A survey of league championship algorithm: prospects and challenges
SM Abdulhamid, MSA Latiff, SHH Madni… - arXiv preprint arXiv …, 2015 - arxiv.org
The League Championship Algorithm (LCA) is sport-inspired optimization algorithm that was
introduced by Ali Husseinzadeh Kashan in the year 2009. It has since drawn enormous …
introduced by Ali Husseinzadeh Kashan in the year 2009. It has since drawn enormous …
Is a complex-valued stepsize advantageous in complex-valued gradient learning algorithms?
Complex gradient methods have been widely used in learning theory, and typically aim to
optimize real-valued functions of complex variables. The stepsize of complex gradient …
optimize real-valued functions of complex variables. The stepsize of complex gradient …
A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm
A meta-cognitive interval type-2 neuro-fuzzy inference system (McIT2FIS) based classifier
and its projection based learning algorithm is presented in this paper. McIT2FIS consists of …
and its projection based learning algorithm is presented in this paper. McIT2FIS consists of …