Mark A. Kramer
Mark A. Kramer
Chief Engineer, Health Technical Center, MITRE Corporation
Verified email at mitre.org
TitleCited byYear
Nonlinear principal component analysis using autoassociative neural networks
MA Kramer
AIChE journal 37 (2), 233-243, 1991
20411991
Sensitivity analysis in chemical kinetics
H Rabitz, M Kramer, D Dacol
Annual review of physical chemistry 34 (1), 419-461, 1983
5761983
Modeling chemical processes using prior knowledge and neural networks
ML Thompson, MA Kramer
AIChE Journal 40 (8), 1328-1340, 1994
5601994
Autoassociative neural networks
MA Kramer
Computers & chemical engineering 16 (4), 313-328, 1992
4241992
Radial basis function networks for classifying process faults
JA Leonard, MA Kramer
IEEE Control Systems Magazine 11 (3), 31-38, 1991
4041991
A rule‐based approach to fault diagnosis using the signed directed graph
MA Kramer, BL Palowitch
AIChE journal 33 (7), 1067-1078, 1987
3451987
Improvement of the backpropagation algorithm for training neural networks
J Leonard, MA Kramer
Computers & Chemical Engineering 14 (3), 337-341, 1990
3281990
Using radial basis functions to approximate a function and its error bounds
JA Leonard, MA Kramer, LH Ungar
IEEE transactions on neural networks 3 (4), 624-627, 1992
2921992
Diagnosis using backpropagation neural networks—analysis and criticism
MA Kramer, JA Leonard
Computers & chemical engineering 14 (12), 1323-1338, 1990
1901990
Malfunction diagnosis using quantitative models with non‐boolean reasoning in expert systems
MA Kramer
AIChE Journal 33 (1), 130-140, 1987
1651987
The simultaneous solution and sensitivity analysis of systems described by ordinary differential equations
JR Leis, MA Kramer
ACM Transactions on Mathematical Software (TOMS) 14 (1), 45-60, 1988
1561988
A general framework for preventive maintenance optimization in chemical process operations
JS Tan, MA Kramer
Computers & Chemical Engineering 21 (12), 1451-1469, 1997
1541997
A neural network architecture that computes its own reliability
JA Leonard, MA Kramer, LH Ungar
Computers & chemical engineering 16 (9), 819-835, 1992
1511992
Qualitative simulation of chemical process systems: Steady‐state analysis
OO Oyeleye, MA Kramer
AIChE Journal 34 (9), 1441-1454, 1988
1511988
Algorithm 658: ODESSA–an ordinary differential equation solver with explicit simultaneous sensitivity analysis
JR Leis, MA Kramer
ACM Transactions on Mathematical Software (TOMS) 14 (1), 61-67, 1988
1221988
Maximum likelihood data rectification: Steady‐state systems
LPM Johnston, MA Kramer
AIChE Journal 41 (11), 2415-2426, 1995
911995
Narrowing diagnostic focus using functional decomposition
FE Finch, MA Kramer
AIChE Journal 34 (1), 25-36, 1988
861988
Diagnosing dynamic faults using modular neural nets
JA Leonard, MA Kramer
IEEE Expert 8 (2), 44-53, 1993
841993
Sensitivity analysis of systems of differential and algebraic equations
JR Leis, MA Kramer
Computers & chemical engineering 9 (1), 93-96, 1985
831985
An improved computational method for sensitivity analysis: Green's function method with ‘AIM’
MA Kramer, JM Calo, H Rabitz
Applied Mathematical Modelling 5 (6), 432-441, 1981
821981
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