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Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

ML-FSID-FIS: A Multi-Level Feature Selection and Fuzzy Inference System for Intrusion Detection in IoMT. [PDF]

Sensors (Basel)
Balhareth G, Ilyas M, Alkanjr B.
europepmc   +1 more source

Performance analysis of fuzzy control strategy for tractor semi-active seat suspension. [PDF]

Sci Rep
Chen X, Wang Z, Qiu Y, Jiang N.
europepmc   +1 more source

Optimization of fuzzy logic controller in the converter of a standalone solar power system using the firefly algorithm. [PDF]

Sci Rep
Nouri P, Kamarposhti MA, Nouri T, Radmehr M.   +3 more
europepmc   +1 more source

Optimized battery energy management using an improved type-2 fuzzy logic approach. [PDF]

Sci Rep
Naoui M, Romdhane M, Gacem A, Sbita L, Alturki M, Almalaq Y, Albaker A, Alshammari BM, Guesmi T.   +8 more
europepmc   +1 more source

Innovative fuzzy reinforcement learning based energy management for smart homes through optimization of renewable energy resources with starfish optimization algorithm. [PDF]

Sci Rep
Hamedani MMK, Jahangiri A, Mehri R, Shamim AG.   +3 more
europepmc   +1 more source

Fuzzy System and Fuzzy Modeling

JOURNAL OF THE BREWING SOCIETY OF JAPAN, 1991
openaire   +2 more sources

FORECASTING IN FUZZY SYSTEMS [PDF]

International Journal of Information Technology & Decision Making, 2011
Fuzzy regression has been applied to marketing, management, and sales forecasting for many years. In this paper, two types of forecasting methods within the framework of fuzzy regression analysis are discussed. The first type is a conventional forecasting method, which intends to find the value of a dependent variable when the given values of ...
HSIAO-FAN WANG, RUEY-CHYN TSAUR
openaire   +2 more sources

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Fuzzy systems and approximation

Fuzzy Sets and Systems, 1997
Abstract The basic motivation of using fuzzy rule-based systems especially for control purposes is to deduce simple and fast approximations of the unknown or too complicated models. Fuzzy rule-based systems have become very popuar because of their transparency and easiness of tuning and modification.
Zorat, Alessandro, L. Koczy
openaire   +3 more sources

Probabilistic Fuzzy Systems as Additive Fuzzy Systems

2014
Probabilistic fuzzy systems combine a linguistic description of the system behaviour with statistical properties of data. It was originally derived based on Zadeh’s concept of probability of a fuzzy event. Two possible and equivalent additive reasoning schemes were proposed, that lead to the estimation of the output’s conditional probability density ...
Rui Jorge Almeida, Nick Verbeek, Uzay Kaymak, João Miguel da Costa Sousa   +3 more
openaire   +1 more source