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Yutaka Maeda
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2020 – today
- 2021
- [c27]Yasuaki Kuroe, Seiji Miyoshi, Hiroomi Hikawa, Hidetaka Ito, Kimiko Motonaka, Yutaka Maeda:
A Synthesis Method of Spiking Neural Oscillators with Considering Asymptotic Stability. IJCNN 2021: 1-6 - [c26]Yasuaki Kuroe, Kenya Takeuchi, Yutaka Maeda:
Swarm Reinforcement Learning Method Based on Hierarchical Q-Learning. SSCI 2021: 1-8 - 2020
- [c25]Yasuaki Kuroe, Hitoshi Iima, Yutaka Maeda:
Four Models of Hopfield-Type Octonion Neural Networks and Their Existing Conditions of Energy Functions. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [c24]Yasuaki Kuroe, Hitoshi Iima, Yutaka Maeda:
Learning Method of Recurrent Spiking Neural Networks to Realize Various Firing Patterns using Particle Swarm Optimization. IJCCI 2019: 479-486 - 2018
- [j12]Hidetaka Ito, Hiroomi Hikawa, Yutaka Maeda:
A Subspace Newton-Type Method for Approximating Transversely Repelling Chaotic Saddles. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(7): 1127-1131 (2018) - [c23]Hiroomi Hikawa, Hidetaka Ito, Yutaka Maeda:
A New Hardware Self-Organizing Map Architecture with High Expandability. IPAS 2018: 238-243 - [c22]Hiroomi Hikawa, Hidetaka Ito, Yutaka Maeda:
Hardware Self-Organizing Map Based on Frequency-Modulated Signal and Digital Frequency-Locked Loop. ISCAS 2018: 1-5 - [c21]Hiroomi Hikawa, Hidetaka Ito, Yutaka Maeda:
A New Self-Organizing Map with Continuous Learning Capability. SSCI 2018: 2163-2168 - 2015
- [j11]Hiroomi Hikawa, Yutaka Maeda:
Improved Learning Performance of Hardware Self-Organizing Map Using a Novel Neighborhood Function. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2861-2873 (2015) - 2012
- [c20]Yutaka Maeda, Akihiro Ito, Hidetaka Ito:
Central pattern generator and its learning via simultaneous perturbation method. IJCNN 2012: 1-6 - 2011
- [j10]Ryosuke Miyoshi, Yutaka Maeda, Seiji Miyoshi:
Statistical Mechanics of Adaptive Weight Perturbation Learning. IEICE Trans. Inf. Syst. 94-D(10): 1937-1940 (2011) - [c19]Yutaka Maeda, Takahiro Yamada, Seiji Miyoshi, Hiroomi Hikawa:
Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation. ICANN (2) 2011: 462-469 - 2010
- [c18]Hiroomi Hikawa, Kenji Doumoto, Simone Miyoshi, Yutaka Maeda:
Image compression with hardware self-organizing map. IJCNN 2010: 1-8 - [c17]Hiroomi Hikawa, Seito Yamazaki, Tatsuya Ando, Simone Miyoshi, Yutaka Maeda:
Comparison of range check classifier and hybrid network classifier for hand sign recognition system. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j9]Seiji Miyoshi, Hiroomi Hikawa, Yutaka Maeda:
Statistical Mechanical Analysis of Simultaneous Perturbation Learning. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(7): 1743-1746 (2009) - [c16]Yutaka Maeda, Naoto Matsushita, Seiji Miyoshi, Hiroomi Hikawa:
On simultaneous perturbation particle swarm optimization. IEEE Congress on Evolutionary Computation 2009: 3271-3276 - [c15]Akira Onoo, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda:
On automatic generation of VHDL code for self-organizing map. IJCNN 2009: 2366-2373 - [c14]Yuuki Taki, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda:
Hand sign recognition system based on hybrid network classifier. IJCNN 2009: 3074-3081 - 2008
- [c13]Yutaka Maeda, Naoto Matsushita:
Combination of particle swarm optimization and simultaneous perturbation. IEEE Congress on Evolutionary Computation 2008: 1380-1385 - 2007
- [c12]Yutaka Maeda, Yoshinori Fukuda:
FPGA Implementation of Pulse Density Hopfield Neural Network. IJCNN 2007: 700-704 - [c11]Yutaka Maeda, Naoto Matsushita:
Simultaneous Perturbation Particle Swarm Optimization Using FPGA. IJCNN 2007: 2695-2700 - 2006
- [c10]Yutaka Maeda, Toru Kuratani:
Simultaneous Perturbation Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2006: 672-676 - 2005
- [j8]Yutaka Maeda, Masatoshi Wakamura:
Bidirectional associative memory with learning capability using simultaneous perturbation. Neurocomputing 69(1-3): 182-197 (2005) - [j7]Yutaka Maeda, Masatoshi Wakamura:
Simultaneous perturbation learning rule for recurrent neural networks and its FPGA implementation. IEEE Trans. Neural Networks 16(6): 1664-1672 (2005) - 2004
- [j6]Hideo Tanaka, Kazutomi Sugihara, Yutaka Maeda:
Non-additive measures by interval probability functions. Inf. Sci. 164(1-4): 209-227 (2004) - [c9]Yutaka Maeda, Nobutaka Kitajima, Tsubasa Inagaki, Hidenori Onishi:
Neuro-Controller with Simultaneous Perturbation for Robot Arm - Learning of Kinematics and Dynamics without Jacobian. ANNs 2004: 18-24 - 2003
- [j5]Yutaka Maeda, Toshiki Tada:
FPGA implementation of a pulse density neural network with learning ability using simultaneous perturbation. IEEE Trans. Neural Networks 14(3): 688-695 (2003) - [c8]Yutaka Maeda, Masatoshi Wakamura:
FPGA implementation of bidirectional associative memory using simultaneous perturbation. NNSP 2003: 299-308 - 2002
- [j4]Tomoe Entani, Yutaka Maeda, Hideo Tanaka:
Dual models of interval DEA and its extension to interval data. Eur. J. Oper. Res. 136(1): 32-45 (2002) - [c7]Yutaka Maeda:
Real-time control and learning using neuro-controller via simultaneous perturbation for flexible arm system. ACC 2002: 2583-2588 - 2001
- [c6]Hideo Tanaka, Kazutomi Sugihara, Yutaka Maeda:
Non-additive Measures by Interval Probability Functions. JSAI Workshops 2001: 322-326 - 2000
- [c5]Yutaka Maeda, Toshiki Tada:
FPGA Implementation of a Pulse Density Neural Network Using Simultaneous Perturbation. IJCNN (3) 2000: 296-304
1990 – 1999
- 1999
- [c4]Kazutomi Sugihara, Yutaka Maeda, Hideo Tanaka:
Interval Evaluation by AHP with Rough Set Concept. RSFDGrC 1999: 375-381 - [c3]Yutaka Maeda, Kazuya Senoo, Hideo Tanaka:
Interval Density Functions in Conflict Analysis. RSFDGrC 1999: 382-389 - 1998
- [c2]Yutaka Maeda, Toshiki Tada, Yakichi Tanaka:
HDL Design of Pulse Density Neural Network Using Simultaneous Perturbation. ICONIP 1998: 81-84 - 1997
- [j3]Yutaka Maeda, Rui J. P. de Figueiredo:
Learning rules for neuro-controller via simultaneous perturbation. IEEE Trans. Neural Networks 8(5): 1119-1130 (1997) - [c1]Yutaka Maeda, Atsushi Nakazawa, Yakichi Kanata:
Pulse density neural network system using simultaneous perturbation learning rule. ICNN 1997: 980-984 - 1995
- [j2]Yutaka Maeda, Takayuki Akashi, Yakichi Kanata:
A Separation of Electroretinograms for Diabetic Retinopathy. IEICE Trans. Inf. Syst. 78-D(8): 1087-1092 (1995) - [j1]Yutaka Maeda, Hiroaki Hirano, Yakichi Kanata:
A learning rule of neural networks via simultaneous perturbation and its hardware implementation. Neural Networks 8(2): 251-259 (1995)
Coauthor Index
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