Shinichi Nakasuka - researchr alias

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Viewing Publication 1 - 46 from 46

2022

The Role of Chaotic Neural Networks in EVSF-NetworkYoshitsugu Kakemoto, Shinichi Nakasuka. ijcnn 2022: 1-8 [doi]

2021

2020

A Study on Optimizing Laser Beam Waist for LEO-To-GEO Communication for 100 Kg-Class SatellitePhong Xuan Do, Alberto Carrasco-Casado, Takayuki Hosonuma, Morio Toyoshima, Shinichi Nakasuka. ccci 2020: 1-6 [doi]

2018

Issue Small SatellitesSteven Gao, Martin N. Sweeting, Shinichi Nakasuka, Simon Peter Worden. pieee, 106(3):339-342, 2018. [doi]

Analysis of inner structure of VSF-NetworkYoshitsugu Kakemoto, Shinichi Nakasuka. ijcnn 2018: 1-8 [doi]

2017

Vibrated synchronization features neural networkYoshitsugu Kakemoto, Shinichi Nakasuka. ijcnn 2017: 4649-4656 [doi]

2016

Learning Symbols by Neural NetworkYoshitsugu Kakemoto, Shinichi Nakasuka. inns 2017: 89-99 [doi]

2015

Results of development and operation of Hodoyoshi type microsatellites for remote sensingKorehiro Maeda, Shinichi Nakasuka. igarss 2015: 4196-4199 [doi]

2014

Vibrate Synchronize Function neural network model - Its backgroundsYoshitsugu Kakemoto, Shinichi Nakasuka. ijcnn 2014: 2629-2636 [doi]

Overview of Hodoyoshi microsatellites for remote sensing and its future prospectKorehiro Maeda, Shinichi Nakasuka. igarss 2014: 3630-3633 [doi]

2013

Selective Weight Update for Neural Network - Its BackgroundsYoshitsugu Kakemoto, Shinichi Nakasuka. amt 2013: 116-125 [doi]

2012

Selective Weight Update Rule for Hybrid Neural NetworkYoshitsugu Kakemoto, Shinichi Nakasuka. isnn 2012: 498-508 [doi]

The study of the remote-sensing application using the GNSS reflected signal with the aperture synthesisYoshinori Mikawa, Takuji Ebinuma, Shinichi Nakasuka. igarss 2012: 400-403 [doi]

2011

Selective connection weight update, its background and experimental considerationsYoshitsugu Kakemoto, Shinichi Nakasuka. IEEEisic 2011: 1353-1360 [doi]

2010

Neural assembly generation by selective connection weight updatingYoshitsugu Kakemoto, Shinichi Nakasuka. ijcnn 2010: 1-6 [doi]

2009

Dynamics of Incremental Learning by VSF-NetworkYoshitsugu Kakemoto, Shinichi Nakasuka. icann 2009: 688-697 [doi]

2006

The Learning and Dynamics of VSF-NetworkYoshitsugu Kakemoto, Shinichi Nakasuka. ijcnn 2006: 1476-1482 [doi]

2004

Preliminary experiments on technologies for satellite orbital maintenance using Micro-LabSat 1Shinichi Kimura, Hitoshi Mineno, Hiroshi Yamamoto, Yasufumi Nagai, Heihachiro Kamimura, Satomi Kawamoto, Fuyuhito Terui, Shin-Ichiro Nishida, Shinichi Nakasuka, Shinichi Ukawa, Hidekazu Hashimoto, Nobuhiro Takahashi, Keisuke Yoshihara. ar, 18(2):117-138, 2004. [doi]

Adaptive limit checking for spacecraft telemetry data using regression tree learningMinoru Nakatsugawa, Takehisa Yairi, Naoki Ishihama, Koichi Hori, Shinichi Nakasuka, Kazuo Machida. SMC 2004: 5130-5135 [doi]

Using Design Information to Support Model-Based Fault Diagnosis TasksKatsuaki Tanaka, Yoshikiyo Kato, Shinichi Nakasuka, Koichi Hori. kes 2004: 350-356 [doi]

Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal PatternsTakehisa Yairi, Shiro Ogasawara, Koichi Hori, Shinichi Nakasuka, Naoki Ishihama. pakdd 2004: 240-244 [doi]

2003

SpecRefiner: Assistance for stepwise refinement of software development in the upstream processRyuji Kudo, Shinichi Nakasuka, Koichi Hori. scjapan, 34(6):32-43, 2003. [doi]

A reinforcement learning approach to fail-safe design for multiple space robots--cooperation mechanism without communication and negotiation schemesKeiki Takadama, Shuichi Matsumoto, Shinichi Nakasuka, Katsunori Shimohara. ar, 17(1):21-39, 2003. [doi]

2002

Robustness in organizational-learning oriented classifier systemKeiki Takadama, Shinichi Nakasuka, Katsunori Shimohara. soco, 6(3-4):229-239, 2002. [doi]

2000

1999

Interactive knowledge acquisition for concept development of consumer productsYoko Ishino, Koichi Hori, Shinichi Nakasuka. kes 1999: 272-275 [doi]

A Situated Information Articulation Neural Network: VSF NetworkYoshitsugu Kakemoto, Shinichi Nakasuka. pakdd 1999: 252-257 [doi]

An approach to printed circuit board design with organizational learning agentsKeiki Takadama, Shinichi Nakasuka, Takao Terano. scjapan, 30(11):33-42, 1999. [doi]

Making Organizational Learning Operational: Implications from Learning Classifier SystemsKeiki Takadama, Takao Terano, Katsunori Shimohara, Koichi Hori, Shinichi Nakasuka. cmot, 5(3):229-252, 1999. [doi]

Grammatical Learning Model for Adaptive Collective Behaviors in Multiple RobotsKeiki Takadama, Koichiro Hajiri, Tatsuya Nomura, Katsunori Shimohara, Shinichi Nakasuka. gmmas 1999: 343-355

How to Design Good Results for Multiple Learning Agents in Scheduling Problems?Keiki Takadama, Masakazu Watabe, Katsunori Shimohara, Shinichi Nakasuka. prima 1999: 126-140 [doi]

1998

Fault tolerance in a multiple robots organization based on an organizational learning modelHitomi Kasahara, Keiki Takadama, Shinichi Nakasuka, Katsunori Shimohara. SMC 1998: 2261-2266 [doi]

Printed Circuit Board Design via Organizational-Learning AgentsKeiki Takadama, Shinichi Nakasuka, Takao Terano. apin, 9(1):25-37, 1998.

Learning model for adaptive behaviors as an organized group of swarm robotsKeiki Takadama, Koichiro Hajiri, Tatsuya Nomura, Katsunori Shimohara, Michio Okada, Shinichi Nakasuka. alr, 2(3):123-128, 1998. [doi]

Amalyzing the Roles of Problem Solving and Learning in Organizational-Learning Oriented Classifier SystemKeiki Takadama, Shinichi Nakasuka, Takao Terano. pricai 1998: 71-82

A Reinforcement Learning Approach to Cooperative Problem SolvingTetsuya Yoshida, Koichi Hori, Shinichi Nakasuka. icmas 1998: 479-480

1997

Organizational learning model for adaptive collective behaviors in multiple robotsKeiki Takadama, Koichiro Hajiri, Tatsuya Nomura, Katsunori Shimohara, Shinichi Nakasuka. ar, 12(3):243-269, 1997. [doi]

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