Results 91 to 100 of about 6,534,602 (244)
Regime Switching and Artificial Neural Network Forecasting [PDF]
This paper provides an analysis of regime switching in volatility and out-of-sample forecasting of the Cyprus Stock Exchange using daily data for the period 1996-2002.
Robert Georgiades +3 more
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Use of polynomial neural network for a mineral prospectivity analysis in a GIS environment [PDF]
, 2004 In the mining industry, identifying new geographic locations that are favourable for mineral exploration is very important. However definitive prediction of such locations is not an easy task.
Brown, W. +3 more
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Advanced Functional Materials, EarlyView.Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park +12 more
wiley +1 more source
Developing a generalised neural-fuzzy hydrocyclone model for particle separation [PDF]
, 1998 Development of a neural-fuzzy model for an operational hydrocyclone is reported in this paper. The model integrates the benefits of the artificial neural network (ANN) and the fuzzy-logic techniques.
Wong, K.W., Eren, H., Fung, C.C.
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Two Coexisting Pathways to Volatility in Valence‐Change Memory Devices
Advanced Functional Materials, EarlyView.Volatile VCM‐type memristive devices exhibit current relaxation after resistive switching, but their microscopic origin remains debated. Using pulsed measurements and a new Tunnel‐DLTS approach on Pt/SrTiO3/Nb:SrTiO3 devices, we show that post‐SET volatility is predominantly ionic, while electronic contributions—arising from quasi‐Fermi‐level ...
Johannes Hellwig +3 more
wiley +1 more source
Power Aware Learning for Class AB Analogue VLSI Neural Network
, 2006 Recent research into Artificial Neural Networks (ANN) has highlighted the potential of using compact analogue ANN hardware cores in embedded mobile devices, where power consumption of ANN hardware is a very significant implementation issue.
Modi, Sankalp +2 more
core +1 more source
Medical analysis and diagnosis by neural networks [PDF]
, 2010 In its first part, this contribution reviews shortly the application of neural network methods to medical problems and characterizes its advantages and problems in the context of the medical background.
Brause, Rüdiger W.
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Advanced Functional Materials, EarlyView.A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam +10 more
wiley +1 more source
The identification of sub-pixel components from remotely sensed data: an evaluation of an artificial neural network approach [PDF]
, 1998 Until recently, methodologies to extract sub-pixel information from remotely sensed data have focused on linear un-mixing models and so called fuzzy classifiers.
Bernard, Alice Clara
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Advanced Functional Materials, EarlyView.The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source