 | 2009 |
| 11 |  | Mihir K. Das,
Nand Kishor:
Adaptive fuzzy model identification to predict the heat transfer coefficient in pool boiling of distilled water.
Expert Syst. Appl. 36(2): 1142-1154 (2009) |
| 2008 |
| 10 |  | Nand Kishor:
Zero-order TS fuzzy model to predict hydro turbine speed in closed loop operation.
Appl. Soft Comput. 8(2): 1074-1084 (2008) |
| 9 |  | Nand Kishor:
Nonlinear predictive control to track deviated power of an identified NNARX model of a hydro plant.
Expert Syst. Appl. 35(4): 1741-1751 (2008) |
| 2007 |
| 8 |  | Nand Kishor,
Madhusudan Singh,
A. S. Raghuvanshi:
Particle swarm optimization based neural-network model for hydro power plant dynamics.
IEEE Congress on Evolutionary Computation 2007: 2725-2731 |
| 7 |  | Nand Kishor,
Madhusudan Singh,
A. S. Raghuvanshi:
Genetic programming approach for model structure determination of hydro turbine in closed loop operation.
IEEE Congress on Evolutionary Computation 2007: 2751-2757 |
| 6 |  | Nand Kishor,
S. P. Singh,
A. S. Raghuvanshi,
P. R. Sharma:
Comparative performance study of QN and LM algorithms in predictive control for NNARX-identified model of hydro-power plant.
Eng. Comput. (Lond.) 23(2): 145 (2007) |
| 5 |  | Nand Kishor,
S. P. Singh,
A. S. Raghuvanshi,
P. R. Sharma:
Comparative performance study of QN and LM algorithms in predictive control for NNARX-identified model of hydro-power plant.
Eng. Comput. (Lond.) 23(2): 71-78 (2007) |
| 4 |  | Nand Kishor,
S. P. Singh:
Simulated response of NN based identification and predictive control of hydro plant.
Expert Syst. Appl. 32(1): 233-244 (2007) |
| 3 |  | Nand Kishor,
S. P. Singh:
Nonlinear predictive control for a NNARX hydro plant model.
Neural Computing and Applications 16(2): 101-108 (2007) |
| 2006 |
| 2 |  | Nand Kishor,
P. R. Sharma,
A. S. Raghuvanshi:
An Investigation on Pruned NNARX Identification Model of Hydropower Plant.
Eng. Comput. (Lond.) 21(4): 272-281 (2006) |
| 2005 |
| 1 |  | Nand Kishor,
R. P. Saini,
S. P. Singh:
Small hydro power plant identification using NNARX structure.
Neural Computing and Applications 14(3): 212-222 (2005) |