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Artículo
An unsupervised learning algorithm for membrane computing
(Elsevier, 2015)
This paper focuses on the unsupervised learning problem within membrane computing, and proposes an innovative solution inspired by membrane computing techniques, the fuzzy membrane clustering algorithm. An evolution–co ...
Artículo
The framework of P systems applied to solve optimal watermarking problem
(Elsevier, 2014)
Membrane computing (known as P systems) is a novel class of distributed parallel computing models inspired by the structure and functioning of living cells and organs, and its application to the real-world problems has ...
Artículo
Dendrite P systems
(Elsevier, 2020)
It was recently found that dendrites are not just a passive channel. They can perform mixed computation of analog and digital signals, and therefore can be abstracted as information processors. Moreover, dendrites possess ...
Artículo
Spiking neural P systems with inhibitory rules
(Elsevier, 2020)
Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP) system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant of SNP systems is proposed, called ...
Artículo
Multiobjective fuzzy clustering approach based on tissue-like membrane systems
(Elsevier, 2017-06)
Fuzzy clustering problem is usually posed as an optimization problem. However, the existing researchhas shown that clustering technique that optimizes a single cluster validity index may not provide satisfactory results ...
Artículo
An automatic clustering algorithm inspired by membrane computing
(Elsevier, 2015)
Membrane computing is a class of distributed parallel computing models. Inspired from the structure and inherent mechanism of membrane computing, a membrane clustering algorithm is proposed to deal with automatic clustering ...
Capítulo de Libro
A Kernel-Based Membrane Clustering Algorithm
(Springer, 2018)
The existing membrane clustering algorithms may fail to handle the data sets with non-spherical cluster boundaries. To overcome the shortcoming, this paper introduces kernel methods into membrane clustering algorithms ...
Artículo
Decision Tree Models Induced by Membrane Systems
(Romanian Academy, Section for Information Science and Technology, 2015)
This paper focuses on an application of membrane systems to solve classification problems. Decision tree technique has been widely used to construct classification models because such models can closely resemble ...
Artículo
Dynamic threshold neural P systems
(Elsevier, 2019)
Pulse coupled neural networks (PCNN, for short) are models abstracting the synchronization behavior observed experimentally for the cortical neurons in the visual cortex of a cat’s brain, and the intersecting cortical ...