| 2008 |
|---|
| 18 | EE | Kenji Nakayama,
Hiroki Horita,
Akihiro Hirano:
Neural Network Based BCI by Using Orthogonal Components of Multi-channel Brain Waves and Generalization.
ICANN (2) 2008: 879-888 |
| 17 | EE | Jovan David Rebolledo Méndez,
Kenji Nakayama:
Adaptive Self-feeding Natural Language Generator Engine.
IVA 2008: 533-534 |
| 2007 |
|---|
| 16 | EE | Akihide Horita,
Kenji Nakayama,
Akihiro Hirano:
Analysis and Comparative Study of Source Separation Performances in Feed-Forward and Feed-Back BSSs Based on Propagation Delays in Convolutive Mixture.
ICANN (1) 2007: 169-179 |
| 15 | EE | Akihide Horita,
Kenji Nakayama,
Akihiro Hirano:
A Distortion-Free Learning Algorithm for Feedforward Multi-Channel Blind Source Separation.
IEICE Transactions 90-A(12): 2835-2845 (2007) |
| 14 | EE | Kenji Nakayama:
Special Section on Multimedia and Mobile Signal Processing.
IEICE Transactions 90-A(3): 545 (2007) |
| 2006 |
|---|
| 13 | EE | Boris Jansen,
Kenji Nakayama:
An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants.
IJCNN 2006: 3395-3400 |
| 12 | EE | Akihide Horita,
Kenji Nakayama,
Akihiro Hirano,
Yasuhiro Dejima:
A Distortion Free Learning Algorithm for Feedforward BSS and ITS Comparative Study with Feedback BSS.
IJCNN 2006: 3911-3918 |
| 11 | EE | Boris Jansen,
Kenji Nakayama:
An Adaptive Penalty-Based Learning Extension for the Backpropagation Family.
IEICE Transactions 89-A(8): 2140-2148 (2006) |
| 2005 |
|---|
| 10 | EE | Kenji Nakayama:
Special Section on Papers Selected from the 19th Symposium on Signal Processing.
IEICE Transactions 88-A(8): 2043 (2005) |
| 2002 |
|---|
| 9 | | Panrasee Ritthipravat,
Kenji Nakayama:
Obstacle Avoidance by Using Modified Hopfield Neural Network.
IC-AI 2002: 161-167 |
| 2000 |
|---|
| 8 | EE | Kenji Nakayama,
Akihiro Hirano,
Aki Kanbe:
A Structure Trainable Neural Network with Embedded Gating Units and Its Learning Algorithm.
IJCNN (3) 2000: 253-258 |
| 7 | EE | Kenji Nakayama,
Akihiro Hirano,
Motoki Nitta:
A Constraint Learning Algorithm for Blind Source Separation.
IJCNN (3) 2000: 327-332 |
| 6 | EE | Kazuyuki Hara,
Kenji Nakayama:
A Training Method with Small Computation for Classification.
IJCNN (3) 2000: 543-548 |
| 1998 |
|---|
| 5 | | Kazushi Ikeda,
Seiji Miyoshi,
Kenji Nakayama:
Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies.
ICONIP 1998: 1215-1218 |
| 4 | | Kanad Keeni,
Kenji Nakayama,
Hiroshi Shimodaira:
Automatic Generation of Initial Weights and Target Outputs of Multilayer Neural Networks and Its Application to Pattern Classification.
ICONIP 1998: 1622-1625 |
| 1997 |
|---|
| 3 | | Ashraf A. M. Khalaf,
Kenji Nakayama,
Kazuyuki Hara:
A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence.
ICANN 1997: 1047-1052 |
| 2 | EE | Kanad Keeni,
Hiroshi Shimodaira,
Kenji Nakayama:
On Distributed Representation of Output Layer for Recognizing Japanese Kana characters Using Neural Networks.
ICDAR 1997: 600-603 |
| 1996 |
|---|
| 1 | | Hong Wang,
Zhiqiang Ma,
Kenji Nakayama:
Effectiveness of Penalty Function in Solving the Subset Sum Problem.
International Conference on Evolutionary Computation 1996: 422-425 |
