has been cited by the following article(s):
[1]
|
A study on the relationship between the rank of input data and the performance of random weight neural network
|
|
2020 |
|
|
[2]
|
iACP-GAEnsC: Evolutionary genetic Algorithm based Ensemble Classification of Anticancer Peptides by utilizing Hybridd Feature space
|
|
Artificial Intelligence in Medicine,
2017 |
|
|
[3]
|
Dynamics identification of a damped multi elastic link robot arm under gravity
|
|
Robotics and Automation (ICRA), 2014 IEEE International Conference on. IEEE,
2014 |
|
|
[4]
|
Binary/ternary extreme learning machines
|
|
Neurocomputing,
2014 |
|
|
[5]
|
Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces
|
|
Gearing Up and Accelerating Cross‐fertilization between Academic and Industrial Robotics Research in Europe:. Springer International Publishing,
2014 |
|
|
[6]
|
Data-driven Modeling of the Ultrasonic Softening Effect for Robust Copper Wire Bonding
|
|
Integrated Power Systems (CIPS), 2014 8th International Conference on. VDE,
2014 |
|
|
[7]
|
Modeling neural plasticity in echo state networks for time series prediction
|
|
Computational Intelligence (UKCI), 2014 14th UK Workshop on. IEEE,
2014 |
|
|
[8]
|
Reliability of Extreme Learning Machines
|
|
NULL
2014 |
|
|
[9]
|
Modeling the ultrasonic softening effect for robust copper wire bonding
|
|
Unger, A., Sextro, W., Althoff, S., Meyer, T., Br?kelmann, M., Neumann, K., ... & Bolowski, D. ,
2014 |
|
|
[10]
|
Optimizing extreme learning machines via ridge regression and batch intrinsic plasticity
|
|
Neurocomputing,
2013 |
|
|
[11]
|
Multi-directional continuous association with input-driven neural dynamics
|
|
Neurocomputing,
2013 |
|
|
[12]
|
Intrinsic plasticity via natural gradient descent with application to drift compensation
|
|
Neurocomputing,
2013 |
|
|
[13]
|
Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub
|
|
Neurocomputing,
2013 |
|
|
[1]
|
Modeling neural plasticity in echo state networks for classification and regression
Information Sciences,
2016
DOI:10.1016/j.ins.2015.11.017
|
|
|
[2]
|
Gearing up and accelerating cross‐fertilization between academic and industrial robotics research in Europe:
Springer Tracts in Advanced Robotics,
2014
DOI:10.1007/978-3-319-02934-4_6
|
|
|
[3]
|
Gearing Up and Accelerating Cross‐fertilization between Academic and Industrial Robotics Research in Europe:
Springer Tracts in Advanced Robotics,
2014
DOI:10.1007/978-3-319-03838-4_6
|
|
|
[4]
|
Dynamics identification of a damped multi elastic link robot arm under gravity
2014 IEEE International Conference on Robotics and Automation (ICRA),
2014
DOI:10.1109/ICRA.2014.6907158
|
|
|
[5]
|
Modeling neural plasticity in echo state networks for time series prediction
2014 14th UK Workshop on Computational Intelligence (UKCI),
2014
DOI:10.1109/UKCI.2014.6930163
|
|
|
[6]
|
Gearing Up and Accelerating Cross‐fertilization between Academic and Industrial Robotics Research in Europe:
Springer Tracts in Advanced Robotics,
2014
DOI:10.1007/978-3-319-03838-4_6
|
|
|
[7]
|
Gearing up and accelerating cross‐fertilization between academic and industrial robotics research in Europe:
Springer Tracts in Advanced Robotics,
2014
DOI:10.1007/978-3-319-02934-4_6
|
|
|
[8]
|
Multi-directional continuous association with input-driven neural dynamics
Neurocomputing,
2013
DOI:10.1016/j.neucom.2012.11.043
|
|
|
[9]
|
Intrinsic plasticity via natural gradient descent with application to drift compensation
Neurocomputing,
2013
DOI:10.1016/j.neucom.2012.12.047
|
|
|