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Results: 1-10 |
Results: 10
ESTABLISHING CRITERIA TO ENSURE SUCCESSFUL FEEDFORWARD ARTIFICIAL NEURAL-NETWORK MODELING OF MECHANICAL SYSTEMS
Authors: MEADE AJ ZELDIN BA
Citation: Aj. Meade et Ba. Zeldin, ESTABLISHING CRITERIA TO ENSURE SUCCESSFUL FEEDFORWARD ARTIFICIAL NEURAL-NETWORK MODELING OF MECHANICAL SYSTEMS, Mathematical and computer modelling, 27(5), 1998, pp. 61-74
LOW DEAN NUMBER CONVECTIVE HEAT-TRANSFER IN HELICAL DUCTS OF RECTANGULAR CROSS-SECTION
Authors: THOMSON DL BAYAZITOGLU Y MEADE AJ
Citation: Dl. Thomson et al., LOW DEAN NUMBER CONVECTIVE HEAT-TRANSFER IN HELICAL DUCTS OF RECTANGULAR CROSS-SECTION, Journal of heat transfer, 120(1), 1998, pp. 84-91
SEQUENTIAL FUNCTION APPROXIMATION FOR THE SOLUTION OF DIFFERENTIAL-EQUATIONS
Authors: MEADE AJ KOKKOLARAS M ZELDIN BA
Citation: Aj. Meade et al., SEQUENTIAL FUNCTION APPROXIMATION FOR THE SOLUTION OF DIFFERENTIAL-EQUATIONS, Communications in numerical methods in engineering, 13(12), 1997, pp. 977-986
ENHANCEMENT OF A VISCOUS-INVISCID-INTERACTION AIRFOIL ANALYSIS CODE USING THE PARALLEL DIRECT SEARCH ALGORITHM
Authors: MEADE AJ KOKKOLARAS M
Citation: Aj. Meade et M. Kokkolaras, ENHANCEMENT OF A VISCOUS-INVISCID-INTERACTION AIRFOIL ANALYSIS CODE USING THE PARALLEL DIRECT SEARCH ALGORITHM, Mathematical and computer modelling, 25(6), 1997, pp. 85-96
INTEGRATING EXPERIMENTAL-DATA AND MATHEMATICAL-MODELS IN SIMULATION OF PHYSICAL SYSTEMS
Authors: ZELDIN BA MEADE AJ
Citation: Ba. Zeldin et Aj. Meade, INTEGRATING EXPERIMENTAL-DATA AND MATHEMATICAL-MODELS IN SIMULATION OF PHYSICAL SYSTEMS, AIAA journal, 35(11), 1997, pp. 1787-1790
NUMERICAL-SOLUTION OF A CALCULUS OF VARIATIONS PROBLEM USING THE FEEDFORWARD NEURAL-NETWORK ARCHITECTURE
Authors: MEADE AJ SONNEBORN HC
Citation: Aj. Meade et Hc. Sonneborn, NUMERICAL-SOLUTION OF A CALCULUS OF VARIATIONS PROBLEM USING THE FEEDFORWARD NEURAL-NETWORK ARCHITECTURE, Advances in engineering software, 27(3), 1996, pp. 213-225
RECURRENT ARTIFICIAL NEURAL-NETWORK SIMULATION OF A CHAOTIC SYSTEM WITHOUT TRAINING
Authors: MEADE AJ MORENO R
Citation: Aj. Meade et R. Moreno, RECURRENT ARTIFICIAL NEURAL-NETWORK SIMULATION OF A CHAOTIC SYSTEM WITHOUT TRAINING, Journal of guidance, control, and dynamics, 18(6), 1995, pp. 1463-1466
SOLUTION OF NONLINEAR ORDINARY DIFFERENTIAL-EQUATIONS BY FEEDFORWARD NEURAL NETWORKS
Authors: MEADE AJ FERNANDEZ AA
Citation: Aj. Meade et Aa. Fernandez, SOLUTION OF NONLINEAR ORDINARY DIFFERENTIAL-EQUATIONS BY FEEDFORWARD NEURAL NETWORKS, Mathematical and computer modelling, 20(9), 1994, pp. 19-44
THE NUMERICAL-SOLUTION OF LINEAR ORDINARY DIFFERENTIAL-EQUATIONS BY FEEDFORWARD NEURAL NETWORKS
Authors: MEADE AJ FERNANDEZ AA
Citation: Aj. Meade et Aa. Fernandez, THE NUMERICAL-SOLUTION OF LINEAR ORDINARY DIFFERENTIAL-EQUATIONS BY FEEDFORWARD NEURAL NETWORKS, Mathematical and computer modelling, 19(12), 1994, pp. 1-25
CALCULATION OF COMPRESSIBLE BOUNDARY-LAYERS BY A HYBRID FINITE-ELEMENT METHOD
Authors: MEADE AJ
Citation: Aj. Meade, CALCULATION OF COMPRESSIBLE BOUNDARY-LAYERS BY A HYBRID FINITE-ELEMENT METHOD, AIAA journal, 31(5), 1993, pp. 820-825
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