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Ikuko Nishikawa
Ikuko Nishikawa
College of Information Science and Engineerings, Ritsumeikan University
Verified email at is.ritsumei.ac.jp
Title
Cited by
Cited by
Year
Statistical macrodynamics of large dynamical systems. Case of a phase transition in oscillator communities
Y Kuramoto, I Nishikawa
Journal of Statistical Physics 49, 569-605, 1987
4851987
Power-law mass distribution of aggregation systems with injection
H Takayasu, I Nishikawa, H Tasaki
Physical Review A 37 (8), 3110, 1988
1921988
Stock price forecasting using back propagation neural networks with time and profit based adjusted weight factors
NLD Khoa, K Sakakibara, I Nishikawa
2006 SICE-ICASE International Joint Conference, 5484-5488, 2006
842006
Detection and recognition of road signs using simple layered neural networks
H Ohara, I Nishikawa, S Miki, N Yabuki
Proceedings of the 9th International Conference on Neural Information …, 2002
652002
A model for feature linking via collective oscillations in the primary visual cortex
T Chawanya, T Aoyagi, I Nishikawa, K Okuda, Y Kuramoto
Biological cybernetics 68, 483-490, 1993
651993
Computational Prediction of O-linked Glycosylation Sites That Preferentially Map on Intrinsically Disordered Regions of Extracellular Proteins
I Nishikawa, Y Nakajima, M Ito, S Fukuchi, K Homma, K Nishikawa
International journal of molecular sciences 11 (12), 4991-5008, 2010
642010
Line balancing using a genetic evolution model
T Watanabe, Y Hashimoto, I Nishikawa, H Tokumaru
Control Engineering Practice 3 (1), 69-76, 1995
541995
Neural network model carrying phase information with application to collective dynamics
Y Kuramoto, T Aoyagi, I Nishikawa, T Chawanya, K Okuda
Progress of theoretical physics 87 (5), 1119-1126, 1992
321992
Improvements of the traffic signal control by complex-valued Hopfield networks
I Nishikawa, T Iritani, K Sakakibara
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
302006
The constraints satisfaction problem approach in the design of an architectural functional layout
M Zawidzki, K Tateyama, I Nishikawa
Engineering Optimization 43 (9), 943-966, 2011
282011
Prediction of the O-glycosylation Sites in Protein by Layered Neural Networks and Support Vector Machines
I Nishikawa, H Sakamoto, I Nouno, T Iritani, K Sakakibara, M Ito
Knowledge-Based Intelligent Information and Engineering Systems: 10th …, 2006
272006
Dynamics of complex-valued neural networks and its relation to a phase oscillator system
I Nishikawa, Y Kuroe
International Conference on Neural Information Processing, 122-129, 2004
202004
Phase dynamics of complex-valued neural networks and its application to traffic signal control
I Nishikawa, T Iritani, K Sakakibara, Y Kuroe
International Journal of Neural Systems 15 (01n02), 111-120, 2005
192005
A hybrid neural network system for the rainfall estimation using satellite imagery
H Murao, I Nishikawa, S Kitamura, M Yamada, P Xie
Proceedings of 1993 International Conference on Neural Networks (IJCNN-93 …, 1993
191993
Principal component analysis of O-linked glycosylation sites in protein sequence
X Yang, YW Chen, M Ito, I Nishikawa
Third International Conference on Intelligent Information Hiding and …, 2007
162007
Effective integration of imitation learning and reinforcement learning by generating internal reward
K Hamahata, T Taniguchi, K Sakakibara, I Nishikawa, K Tabuchi, ...
2008 Eighth international conference on intelligent systems design and …, 2008
152008
Pattern Analysis and Prediction of O-Linked Glycosylation Sites in Protein by Principal Component Subspace Analysis
YW Chen, X Yang, M Ito, I Nishikawa
Knowledge-Based Intelligent Information and Engineering Systems: 11th …, 2007
152007
Intrinsically disordered proteins in human mitochondria
M Ito, Y Tohsato, H Sugisawa, S Kohara, S Fukuchi, I Nishikawa, ...
Genes to Cells 17 (10), 817-825, 2012
142012
Area-wide Control of Traffic Signals by Phase Model
I Nishikawa, S Nakazawa, H Kita
Transactions of the Society of Instrument and Control Engineers 39 (2), 199-208, 2003
142003
Development of a scheme and tools to construct a standard moth brain for neural network simulations
H Ikeno, T Kazawa, S Namiki, D Miyamoto, Y Sato, SS Haupt, I Nishikawa, ...
Computational intelligence and neuroscience 2012, 7-7, 2012
132012
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Articles 1–20