Adaptive fuzzy spiking neural P systems for fuzzy inference and learning

DOI10.1080/00207160.2012.743653zbMath1286.68147OpenAlexW2006939223MaRDI QIDQ2852138

Hong Peng, Jun Wang

Publication date: 8 October 2013

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://idus.us.es/xmlui/handle/11441/34155

zbMATH Keywords

fuzzy reasoningspiking neural P systemslearning problemadaptive fuzzy spiking neural P systemsfuzzy spiking neural P systems

Mathematics Subject Classification ID

Related Items (7)

Spiking neural P systems with multiple channels ⋮ Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback ⋮ Numerical spiking neural P systems with weights ⋮ An improved universal spiking neural P system with generalized use of rules ⋮ Hyperparameter optimization in learning systems ⋮ Spiking neural P systems with structural plasticity and anti-spikes ⋮ Design of logic gates using spiking neural P systems with homogeneous neurons and astrocytes-like control

Cites Work

• Spiking neural P systems: an improved normal form
• Computing along the axon
• Asynchronous spiking neural P systems
• Membrane computing. 10th international workshop, WMC 2009, Curtea de Arges, Romania, August 24--27, 2009. Revised selected and invited papers
• EXTENDED SPIKING NEURAL P SYSTEMS WITH DECAYING SPIKES AND/OR TOTAL SPIKING
• Hebbian Learning from Spiking Neural P Systems View
• SPIKE TRAINS IN SPIKING NEURAL P SYSTEMS

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