| 2001 |
|---|
| 21 | | Wyatt S. Newman,
Yonghong Zhao,
Yoh-Han Pao:
Interpretation of Force and Moment Signals for Compliant Peg-in-Hole Assembly.
ICRA 2001: 571-576 |
| 2000 |
|---|
| 20 | EE | Gwang Hoon Park,
Yoh-Han Pao:
Unconstrained word-based approach for off-line script recognition using density-based random-vector functional-link net.
Neurocomputing 31(1-4): 45-65 (2000) |
| 1999 |
|---|
| 19 | EE | Boris Igelnik,
Yoh-Han Pao,
Steven R. LeClair,
Chang-Yun Shen:
The ensemble approach to neural-network learning and generalization.
IEEE Transactions on Neural Networks 10(1): 19-30 (1999) |
| 1998 |
|---|
| 18 | | Boris Igelnik,
Yoh-Han Pao,
Steven R. LeClair:
Experimental Comparison of Different Adaptive Stochastic Optimization Methods for Use with Ensemble Net Approach for Learning and Generalization.
NC 1998: 1009-1015 |
| 17 | EE | C. L. Philip Chen,
Steven R. LeClair,
Yoh-Han Pao:
An incremental adaptive implementation of functional-link processing for function approximation, time-series prediction, and system identification.
Neurocomputing 18(1-3): 11-31 (1998) |
| 16 | EE | Gwang Hoon Park,
Yoh-Han Pao:
Training neural-net controllers with the help of trajectories generated with fuzzy rules (demonstrated with the truck backup task).
Neurocomputing 18(1-3): 91-105 (1998) |
| 1997 |
|---|
| 15 | EE | Yoh-Han Pao,
Chang-Yun Shen:
Visualization of pattern data through learning of non-linear variance-conserving dimension-reduction mapping.
Pattern Recognition 30(10): 1705-1717 (1997) |
| 1996 |
|---|
| 14 | | Yoh-Han Pao:
Dimension Reduction, Feature Extraction and Interpretation of Data with Network Computing.
IJPRAI 10(5): 521-535 (1996) |
| 1995 |
|---|
| 13 | EE | Boris Igelnik,
Yoh-Han Pao:
A Stochastic Optimization Algorithm for Neural Net Learning.
IEA/AIE 1995: 29-34 |
| 12 | EE | Yoh-Han Pao,
Stephen M. Phillips:
The functional link net and learning optimal control.
Neurocomputing 9(2): 149-164 (1995) |
| 1994 |
|---|
| 11 | | Percy P. C. Yip,
Yoh-Han Pao:
A Guided Evolutionary Computation Technique as Function Optimizer.
International Conference on Evolutionary Computation 1994: 628-633 |
| 10 | | Chang-Yun Shen,
Yoh-Han Pao,
Percy P. C. Yip:
Scheduling Multiple Job Problems with Guided Evolutionary Simulated Annealing Approach.
International Conference on Evolutionary Computation 1994: 702-706 |
| 9 | | Percy P. C. Yip,
Yoh-Han Pao:
A recurrent neural net approach to one-step ahead control problems.
IEEE Transactions on Systems, Man, and Cybernetics 24(4): 678-683 (1994) |
| 8 | | Yoh-Han Pao,
Gwang Hoon Park,
Dejan J. Sobajic:
Learning and generalization characteristics of the random vector Functional-link net.
Neurocomputing 6(2): 163-180 (1994) |
| 1992 |
|---|
| 7 | | Yoh-Han Pao,
Yoshiyasu Takefuji:
Functional-Link Net Computing: Theory, System Architecture, and Functionalities.
IEEE Computer 25(5): 76-79 (1992) |
| 1991 |
|---|
| 6 | EE | Yoh-Han Pao,
Dejan J. Sobajic:
Neural Networks and Knowledge Engineering.
IEEE Trans. Knowl. Data Eng. 3(2): 185-192 (1991) |
| 1990 |
|---|
| 5 | | M. Umit Karakas,
Yoh-Han Pao,
M. Sinan Beksac,
Kadir Ozdemir:
A Neural Net Learning Algorithm for Design of Cardiotocograph Signal Evaluatin Expert System: MYDEARBABY 90/2.47.
DEXA 1990: 427-431 |
| 4 | | Yoh-Han Pao,
Dejan J. Sobajic:
Nonlinear process control with neural nets.
Neurocomputing 2(2): 51-59 (1990) |
| 1989 |
|---|
| 3 | | Arie Ben-David,
Leon Sterling,
Yoh-Han Pao:
Learning, classification of monotonic ordinal concepts.
Computational Intelligence 5: 45-49 (1989) |
| 2 | | Yoh-Han Pao:
Applications of Neural-Net Computing.
Neurocomputing 1(2): 4-22 (1989) |
| 1988 |
|---|
| 1 | EE | Yoh-Han Pao:
Autonomous machine learning of effective control strategies with connectionist-net.
Journal of Intelligent and Robotic Systems 1(1): 35-53 (1988) |
