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ORCIDKatsuji Uosaki
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2010 – 2019
- 2015
[j4]Teruya Yamanishi, Kazutomi Sugihara, Kazumasa Ohkuma, Katsuji Uosaki:
Programming instruction using a micro robot as a teaching tool. Comput. Appl. Eng. Educ. 23(1): 109-116 (2015)- 2011
- [c23]Masahiro Osogami, Teruya Yamanishi, Katsuji Uosaki:
Input-Output Conditions for Automatic Program Generation Using Petri Nets. KES (1) 2011: 296-305
2000 – 2009
- 2008
- [j3]Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki:
RBF Networks Ensemble Construction based on Evolutionary Multi-objective Optimization. J. Adv. Comput. Intell. Intell. Informatics 12(3): 297-303 (2008) - 2007
- [c22]Takeshi Korenaga, Toshiharu Hatanaka
, Katsuji Uosaki:
Performance improvement of particle swarm optimization for high-dimensional function optimization. IEEE Congress on Evolutionary Computation 2007: 3288-3293 - [c21]Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki:
Nonlinear Dynamic System Identification Based on Multiobjectively Selected RBF Networks. MCDM 2007: 122-127 - [c20]Katsuji Uosaki, Toshiharu Hatanaka:
Fault Detection with Evolution Strategies Based Particle Filter and Backward Sequential Probability Ratio Test. KES (1) 2007: 664-671 - 2006
- [c19]Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki:
Pattern Classification by Evolutionary RBF Networks Ensemble Based on Multi-objective Optimization. IJCNN 2006: 2919-2925 - [p1]Toshiharu Hatanaka, Nobuhiko Kondo, Katsuji Uosaki:
Multi-Objective Structure Selection for RBF Networks and Its Application to Nonlinear System Identification. Multi-Objective Machine Learning 2006: 491-505 - 2005
- [c18]Katsuji Uosaki, Toshiharu Hatanaka:
Evolution strategies based Gaussian sum particle filter for nonlinear state estimation. Congress on Evolutionary Computation 2005: 2365-2371 - [c17]Katsuji Uosaki, Toshiharu Hatanaka:
Nonlinear State Estimation by Evolution Strategies Based Gaussian Sum Particle Filter. KES (1) 2005: 635-642 - 2004
- [c16]Toshiharu Hatanaka, Yoshio Kawaguchi, Katsuji Uosaki:
Nonlinear system identification based on evolutionary fuzzy modeling. IEEE Congress on Evolutionary Computation 2004: 646-651 - [c15]Katsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka:
Evolution strategies based particle filters for state and parameter estimation on nonlinear models. IEEE Congress on Evolutionary Computation 2004: 884-890 - [c14]Katsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka:
Evolution Strategies Based Particle Filters for Nonlinear State Estimation. KES 2004: 1189-1196 - 2003
- [c13]Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga:
Block oriented nonlinear model identification by evolutionary computation approach. CCA 2003: 43-48 - [c12]Toshiharu Hatanaka, Nobuhiko Kondo, Katsuji Uosaki:
Multi-objective structure selection for radial basis function networks based on genetic algorithm. IEEE Congress on Evolutionary Computation 2003: 1095-1100 - [c11]Katsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka:
Nonlinear state estimation by evolution strategies based particle filters. IEEE Congress on Evolutionary Computation 2003: 2102-2109 - [c10]Katsuji Uosaki, Toshiharu Hatanaka, Akihiko Yonemochi, Han-Fu Chen:
Function optimization by simultaneous perturbation stochastic approximation with randomly varying truncations. ECC 2003: 2951-2955 - [c9]Yasuo Saito, Toshiharu Hatanaka, Katsuji Uosaki, Hidekazu Shigeto:
Neural Network Application to Eggplant Classification. KES 2003: 933-940 - 2002
- [c8]Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga:
Evolutionary computation approach to Wiener model identification. IEEE Congress on Evolutionary Computation 2002: 914-919 - [c7]Toshiharu Hatanaka, Katsuji Uosaki, Norio Manabe:
Structure identification in Takagi-Sugeno fuzzy modeling. FUZZ-IEEE 2002: 69-74 - 2001
- [c6]Toshiharu Hatanaka, Katsuji Uosaki:
Hammerstein model identification method based on genetic programming. CEC 2001: 1430-1435 - [c5]Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga:
Wiener model identification by evolutionary computation approach with piecewise linearization. SMC 2001: 1406-1411
1990 – 1999
- 1999
- [c4]Toshiharu Hatanaka, Katsuji Uosaki:
Frequency domain approach to optimal auxiliary input design for fault diagnosis. ECC 1999: 1717-1722 - 1996
- [c3]Toshiharu Hatanaka, Katsuji Uosaki, Takayuki Ueta:
Optimal Smoothing of Binary Markov Sequences by Genetic Algorithms and Its Application to Image Restoration. International Conference on Evolutionary Computation 1996: 448-451 - 1995
- [j2]Satoru Goto, Masatoshi Nakamura, Katsuji Uosaki:
On-line spectral estimation of nonstationary time series based on AR model parameter estimation and order selection with a forgetting factor. IEEE Trans. Signal Process. 43(6): 1519-1522 (1995) - 1990
- [c2]Katsuji Uosaki:
Boundary Element Method and External Input Identification of Noisy Distributed Parameter Systems. Modelling the Innovation 1990: 419-426
1980 – 1989
- 1986
- [c1]Katsuji Uosaki:
Integer programming approach to optimal smoothing of two-state Markov sequences. ICASSP 1986: 1661-1664
1970 – 1979
- 1975
- [j1]Katsuji Uosaki:
State estimation scheme for nonlinear dynamical systems based on the stochastic approximation. Inf. Sci. 9(2): 133-149 (1975)
Coauthor Index
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