This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a Trent University directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $54,000
Nonlinear operator equations and deep neural networks
NSERC · 2023 · Principal investigator
- $12,125
Deep Learning Applied to Energy Forecast: Implementation and Evaluation
NSERC · 2018 · Principal investigator
- $25,000
Computational Algorithms for Energy Efficiency and Cost Reduction
NSERC · 2017 · Principal investigator
Nonlinear operator equations and deep neural networks
Principal investigators: Feng, Wenying
Keywords: fixed point theory; nonlinear differential equation; applied difference equation; fractional-order boundary value problem; mathematical modelling; nonlinear analysis; numerical simulation; neural network; computational algorithm; operator equation
Deep Learning Applied to Energy Forecast: Implementation and Evaluation
Principal investigators: Feng, Wenying
Computational Algorithms for Energy Efficiency and Cost Reduction
Principal investigators: Feng, Wenying
Fixed Point Theory, Nonlinear Differential Equations and Computational Algorithms on Data Analytics
Principal investigators: Feng, Wenying
Spectral properties and solutions for parameter dependent differential equations
Principal investigators: Feng, Wenying
Applictions of nonlinear and semilinear spectra to boundary vallue problems/computer system performance analysis
Principal investigators: Feng, Wenying
Spectral theory and semilinear problems
Principal investigators: Feng, Wenying
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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