2008 |
36 | | Masumi Ishikawa,
Kenji Doya,
Hiroyuki Miyamoto,
Takeshi Yamakawa:
Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I
Springer 2008 |
35 | | Masumi Ishikawa,
Kenji Doya,
Hiroyuki Miyamoto,
Takeshi Yamakawa:
Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II
Springer 2008 |
34 | EE | Takeshi Yamakawa,
Takanori Koga:
Bio-inspired Self-Organizing Relationship Network as Knowledge Acquisition Tool and Fuzzy Inference Engine.
WCCI 2008: 159-180 |
2007 |
33 | EE | Takeshi Yamakawa,
Keiichi Horio,
Takahiro Tanaka:
Advanced Learning of SOR Network Employing Evaluation-based Topology Representing Network.
HIS 2007: 1 |
32 | EE | Takeshi Yamakawa,
Kazuhiko Taniguchi,
Toshio Momen,
Syoji Kobashi,
Katsuya Kondo,
Yutaka Hata:
Biometric personal identification using sole information.
SMC 2007: 3438-3442 |
31 | EE | Ryosuke Kubota,
Keiichi Horio,
Takeshi Yamakawa:
Binary Self-Organizing Map with Modified Updating Rule and Its Application to Reproduction of Genetic Algorithm.
IEICE Transactions 90-D(1): 382-383 (2007) |
2006 |
30 | EE | Keiichi Horio,
Akira Aikawa,
Takeshi Yamakawa:
Pattern Recognition Based on Relative Position of Local Features Using Self-Organizing Map.
ICICIC (2) 2006: 293-296 |
29 | EE | Masaaki Iwasaki,
Takeshi Yamakawa:
The New Estimation Method of Collision Possibility of Approaching Object by Using Fuzzy Inference with Image Features.
ICICIC (2) 2006: 297-300 |
28 | EE | Takeshi Yamakawa,
Keiichi Horio,
Masaharu Hoshino:
Self-Organizing Map with Input Data Represented as Graph.
ICONIP (1) 2006: 907-914 |
27 | EE | Takeshi Yamakawa,
Keiichi Horio,
Takahiro Tanaka:
Evaluation-Based Topology Representing Network for Accurate Learning of Self-Organizing Relationship Network.
ICONIP (1) 2006: 968-977 |
26 | EE | Hakaru Tamukoh,
Keiichi Horio,
Takeshi Yamakawa:
A Digital Hardware Architecture of Self-Organizing Relationship (SOR) Network.
ICONIP (3) 2006: 1168-1177 |
25 | EE | Kirmene Marzouki,
Takeshi Yamakawa:
Exploring Standard Self-Organizing Map Internal Structure in the Learning.
IJCNN 2006: 4612-4619 |
24 | EE | Masaaki Iwasaki,
Takeshi Yamakawa:
Insect vision inspired visual sensor employing new collision avoidance algorithm based on collision possibility of approaching object.
KES Journal 10(1): 67-81 (2006) |
23 | EE | Takanori Koga,
Keiichi Horio,
Takeshi Yamakawa:
The Self-Organizing Relationship (SOR) network employing fuzzy inference based heuristic evaluation.
Neural Networks 19(6-7): 799-811 (2006) |
2005 |
22 | EE | Kirmene Marzouki,
Takeshi Yamakawa:
Novel Algorithm for Eliminating Folding Effect in Standard SOM.
ESANN 2005: 563-570 |
2004 |
21 | EE | Takanori Koga,
Keiichi Horio,
Takeshi Yamakawa:
Self-organizing Relationship (SOR) Network with Fuzzy Inference Based Evaluation and Its Application to Trailer-Truck Back-Up Control.
ICONIP 2004: 368-374 |
20 | EE | Hideaki Kawano,
Keiichi Horio,
Takeshi Yamakawa:
Adaptive Affine Subspace Self-organizing Map with Kernel Method.
ICONIP 2004: 387-392 |
19 | EE | Takanori Koga,
Takeshi Yamakawa:
Brain-Inspired SOR Network and Its Application to Trailer Track Back-up Control.
KES 2004: 13-15 |
2002 |
18 | EE | Takeshi Yamakawa,
Keiichi Horio:
Modeling of Nonlinear Systems by Employing Self-Organization and Evaluation - SOR Network.
AFSS 2002: 204-213 |
2001 |
17 | EE | Takeshi Yamakawa,
Hideaki Kawano:
Identification of a Landmark in a Roentgenographic Cephalogram by Employing the Wavelet Neurons.
Int. J. Neural Syst. 11(4): 329-334 (2001) |
16 | | Keiichi Horio,
Takeshi Yamakawa:
Feedback Self-Organizing Map and its Application to Spatio-Temporal Pattern Classification.
International Journal of Computational Intelligence and Applications 1(1): 1-18 (2001) |
2000 |
15 | EE | Takashi Samatsu,
Eiji Uchino,
Takeshi Yamakawa:
Feature extraction of a vectorcardiogram by employing a wavelet network guaranteeing a global minimum.
Journal of Intelligent and Fuzzy Systems 8(3): 221-227 (2000) |
1998 |
14 | | Harold Szu,
Charles Hsu,
Takeshi Yamakawa:
Progress of Unsupervised Learning of Early Vision.
ICONIP 1998: 303-306 |
13 | | Harold Szu,
Charles Hsu,
Takeshi Yamakawa:
Progress in Unsupervised Neural Nets for Blind Communication De-Mixing.
ICONIP 1998: 887-890 |
12 | EE | Takeshi Yamakawa:
A Novel Nonlinear Synapse Neuron Model Guaranteeing a Global Minimum - Wavelet Neuron.
ISMVL 1998: 335- |
1997 |
11 | | Eiji Uchino,
Shin Nakamura,
Takeshi Yamakawa:
Nonlinear Modeling and Filtering by RBF Network with Application to Noisy Speech Signal.
Inf. Sci. 101(3-4): 177-185 (1997) |
10 | | Takeshi Yamakawa,
Eiji Uchino,
M. Takayama:
An Approach to Designing the Fuzzy IF-THEN Rules for Fuzzy-Controlled Static Var Compensator (FCSVC).
Inf. Sci. 101(3-4): 249-260 (1997) |
1995 |
9 | EE | Takeshi Yamakawa,
Eiji Uchino,
Tsutomu Miki,
M. Takayama:
An approach to design fuzzy IF-THEN rules for fuzzy-controlled static VAr compensator.
ANNES 1995: 116-119 |
8 | EE | Shin Nakamura,
Eiji Uchino,
Takeshi Yamakawa:
Fuzzy reasoning method for smooth interpolation.
ANNES 1995: 120-123 |
7 | | Takeshi Yamakawa:
A Survey on Fuzzy Information Processing Hardware Systems.
ISCAS 1995: 1310-1314 |
1994 |
6 | | Eiji Uchino,
Takeshi Yamakawa:
Neo-Fuzzy-Neuron Based New Approach to System Modeling, with Application to Actual Systems.
ICTAI 1994: 564-570 |
5 | EE | Takeshi Yamakawa,
Nikhil R. Pal:
Preface: International Conference on fuzzy logic and Neural Networks (IIZUKA '92).
Int. J. Approx. Reasoning 10(1): 1-2 (1994) |
1991 |
4 | EE | Takeshi Yamakawa:
The international workshop on fuzzy system applications.
Int. J. Approx. Reasoning 5(3): 189 (1991) |
1988 |
3 | EE | Takeshi Yamakawa:
High-speed fuzzy controller hardware system: The mega-FIPS machine.
Inf. Sci. 45(2): 113-128 (1988) |
2 | EE | Takeshi Yamakawa,
Hideyuki Kabuo:
A programmable fuzzifier integrated circuit--synthesis, design, and fabrication.
Inf. Sci. 45(2): 75-112 (1988) |
1986 |
1 | | Takeshi Yamakawa,
Tsutomu Miki:
The Current Mode Fuzzy Logic Integrated Circuits Fabricated by the Standard CMOS Process.
IEEE Trans. Computers 35(2): 161-167 (1986) |