A. Meade

发表

Solution of nonlinear ordinary differential equations by feedforward neural networks

Andrew J. Meade, A. Fernandez, A. Meade, 1994 .

Enhancement of heat transfer in square helical ducts

Y. Bayazitoglu, A. Meade, R. M. Eason, 1994 .

Low Dean Number Convective Heat Transfer in Helical Ducts of Rectangular Cross Section

Andrew J. Meade, Y. Bayazitoglu, David L. Thomson, 1998 .

Numerical solution of a calculus of variations problem using the feedforward neural network architecture

Andrew J. Meade, Hans C. Sonneborn, A. Meade, 1996 .

Series solution of low Dean and Germano number flows in helical rectangular ducts

Y. Bayazitoglu, David L. Thomson, A. Meade, 2001 .

Enhancement of a viscous-inviscid-interaction airfoil analysis code using the parallel direct search algorithm

Michael Kokkolaras, Andrew J. Meade, M. Kokkolaras, 1997 .

The semi-discrete Galerkin finite element modelling of compressible viscous flow past an airfoil

A. Meade, 1990 .

Semi-discrete Galerkin solution of the compressible boundary-layer equations with viscous-inviscid interaction

Andrew J. Meade, B. Day, A. Meade, 1993 .

An application of artificial neural networks to experimental data approximation

Andrew J. Meade, A. Meade, 1993 .

Improved Adaptive–Reinforcement Learning Control for Morphing Unmanned Air Vehicles

Monish D. Tandale, John Valasek, James Doebbler, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Improved Adaptive-Reinforcement Learning Control for Morphing Unmanned Air Vehicles

Monish D. Tandale, John Valasek, James Doebbler, 2005 .

Dependencies of the thermal conductivity of individual single-walled carbon nanotubes

J. Templeton, E. Barrera, A. Meade, 2010 .

Concurrent Implementation of the Optimal Incremental Approximation Method for the Adaptive and Meshless Solution of Differential Equations

Michael Kokkolaras, Andrew J. Meade, M. Kokkolaras, 2003 .

Thermal Transport Mechanisms in Carbon Nanotube-Nanofluids Identified From Molecular Dynamics Simulations

J. Templeton, E. Barrera, Jonathan W. Lee, 2015 .

Numerical investigation of nanoparticle-assisted laser-induced interstitial thermotherapy toward tumor and cancer treatments

Y. Bayazitoglu, Xiao Xu, A. Meade, 2011, Lasers in Medical Science.

Calculation of compressible boundary layer flow about airfoils by a finite element/finite difference method

Andrew J. Meade, S. L. Strong, A. Meade, 1992 .

Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver

Andrew J. Meade, Matthew C. Wilkinson, M. Wilkinson, 2016, J. Aerosp. Inf. Syst..

Evaluation of theranostic perspective of gold-silica nanoshell for cancer nano-medicine: a numerical parametric study

Andrew J. Meade, Y. Bayazitoglu, Xiao Xu, 2018, Lasers in Medical Science.

Feasibility of selective nanoparticle-assisted photothermal treatment for an embedded liver tumor

Y. Bayazitoglu, Xiao Xu, A. Meade, 2013, Lasers in Medical Science.

The numerical solution of linear ordinary differential equations by feedforward neural networks

Andrew J. Meade, A. Fernandez, A. Meade, 1994 .

Regularization of a Programmed Recurrent Artificial Neural Network

Andrew J. Meade, A. Meade, 2000 .

Use of Active Learning to Design Wind Tunnel Runs for Unsteady Cavity Pressure Measurements

Ankur Srivastava, Andrew J. Meade, A. Meade, 2014 .

A scattered data approximation tool to map single-walled carbon nanotube dispersion to the processing parameters in polymer nanocomposites

Jonathan W. Lee, Andrew J. Meade, Enrique V. Barrera, 2010, Int. J. Knowl. Eng. Data Min..

Solution of the radiative transfer equation in discrete ordinate form by sequential function approximation

Andrew J. Meade, Yildiz Bayazitoglu, Y. Bayazitoglu, 2001 .

An Initialization Method for Feedforward Artificial Neural Networks Using Polynomial Bases

Andrew J. Meade, Thanasis M. Varnava, A. Meade, 2011, Adv. Data Sci. Adapt. Anal..

Approximation properties of local bases assembled from neural network transfer functions

Andrew J. Meade, B. Zeldin, Boris A. Zeldin, 1998 .

Initialization of Artificial Neural Network Training Using Mathematical Models

Andrew J. Meade, B. Zeldin, Gregory S. Lind, 2007 .

Learning Air-Data Parameters for Flush Air Data Sensing Systems

Ankur Srivastava, Andrew J. Meade, Kurtis R. Long, 2012, J. Aerosp. Comput. Inf. Commun..

Calculation of compressible boundary layers by a hybrid finite element method

A. Meade, 1993 .

Application of Multilayer Feedforward Networks in the Solution of Compressible Euler Equations

Andrew J. Meade, A. Meade, 1998 .