Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
[TOP] | [2016] | [2017] | [2018] | [2019] | [2020] | [2021] | [2022] | [Japanese] / [English]
NLP2019-113
A study on shift manipulation of intrinsic localized mode by using adiabatic process in nonlinear lattice.
Araki Hirotaka, Hikihara Takashi (Kyoto Univ)
pp. 1 - 6
NLP2019-114
Mathematical Analysis of Two Dimensional Swarm Flocking Formation in Time-Invariant External Potential
Yanran Wang, Takashi Hikihara (Kyoto Univ.)
pp. 7 - 12
NLP2019-115
A Distributed Algorithm for Solving Sandberg-Willson Equations Based on Sequential Minimization of Convex Quadratic Functions
Masaaki Takeuchi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.)
pp. 13 - 18
NLP2019-116
A projected consensus-based algorithm for minimizing the maximum error of a system of linear equations with nonnegativity constraints
Kosuke Kawashima, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.)
pp. 19 - 23
NLP2019-117
Analysis of a pancreatic beta cell model including glycolysis system based on slow-fast decomposition and bifurcation analysis
-- Focusing on the effects of external input and blood glucose --
Tomoki Sugiura, Shinji Doi (Kyoto Univ.)
pp. 25 - 30
NLP2019-118
Collision experiments in Three-state Face-centered Cubic Cellular Automata with Stationary Patterns
Shigeru Ninagawa (KIT)
pp. 31 - 36
NLP2019-119
MOP based analysis of switching power converter
Ryutaro Fujikawa, Tomoyuki Togawa, Toshimichi Saito (HU)
pp. 37 - 41
NLP2019-120
Analysis of a simple spiking neuron based on evolutionary computation
Kotaro Kawaguchi, Kohya Kato, Okitsu Satonao, Toshimichi Saito (HU)
pp. 43 - 47
NLP2019-121
Digital Spike Maps: evolutionary synthesis and FPGA based implementation
Tomoki Harada, Yuya Oishi, Toshimichi Saito (HU)
pp. 49 - 53
NLP2019-122
A Mathematical Model for a Synapse Device Based on Spintronics
Taku Sato, Kikuchi Yushi, Aleksandr Kurenkov, Yoshihiko Horio, Shunsuke Fukami (Tohoku Univ.)
pp. 55 - 60
NLP2019-123
Two convolutional neural networks trained through Co-teaching perform a complementary role
Toshikazu Samura, Katsumi Tadamura (Yamaguchi Univ.)
pp. 61 - 64
NLP2019-124
A method foe estimating gene regulatory networks based on multiple source of information about regulatory relationships
Haga Cham, Yutaka Shimada, Takaomi Shigehara (Saitama Univ.)
pp. 65 - 70
NLP2019-125
Detecting unobserved nodes in networks of dynamical systems estimated only from time series data.
Yuuki Sakakibara, Yutaka Shimada, Takaomi Shigehara (Saitama Univ.)
pp. 71 - 76
NLP2019-126
Analysis of language network for Japanese and English translations of the New Testament
Kihei Magishi, Tomoko Matsumoto (TUS), Yutaka Shimada (SU), Tohru Ikeguchi (TUS)
pp. 77 - 82
NLP2019-127
Information Diffusion Model with Network Centrality and Community Structure
Luyan Xu, Kazuya Sawada (TUS), Yutaka Shimada (SU), Tohru Ikeguchi (TUS)
pp. 83 - 88
NLP2019-128
Influence of Resolution of Time Series Data on Causality Detection
Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS)
pp. 89 - 94
NLP2019-129
Performance Investigation of A Routing Method Using Network Path Length
Daiki Ebisawa, Akinori Yoshida, Takayuki Kimura (Nippon Institute of Tech)
pp. 95 - 98
NLP2019-130
Performance Investigation of A Routing Method in Realistic Network Topology
Shota Yukita, Yoshiya Uchino, Takayuki Kimura (Nippon Institute of Tech)
pp. 99 - 102
NLP2019-131
Reinforcement Learning Based Multi-Ship Course Search Method with Tracking Control
Hiroki Kimura, Takahiro Tomihara, Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takushoku Univ.), Hisato Fujisaka (Hiroshima City Univ.)
pp. 103 - 108
NLP2019-132
An Application of Deep Reinforcement Learning to Networked Control Under Communication Channel Constraints
Takahiro Kozuka, Kazumune Hashimoto, Toshimitsu Ushio (Osaka Univ.)
pp. 109 - 113
NLP2019-133
Learning of action selection with a spiking neural network for encoding path-dependent place information
Katsumi Tateno, Kensuke Takada (Kyutech)
pp. 115 - 118
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.