研究者詳細 - 森江　隆

論文 - 森江　隆

分割表示315 件中 21 - 40 件目／全件表示 >>

Single-electron Devices and Circuits Utilizing Stochastic Operation for Intelligent Information Processing 招待有り査読有り国際誌

T. Morie

Int. J. of Nanotechnology and Molecular Computation 1 ( 2 ) 1 - 28 2009年04月

A Subjective-Contour Generation LSI System with Expandable Pixel-Parallel Architecture for Vision Systems, 査読有り国際誌

T. Morie,Y. Kim

IEEE Int. Solid-State Circuits Conf. (ISSCC2009) 478 - 479 2009年02月

An efficient hardware-oriented dropout algorithm 査読有り国際誌

Yeoh Y.J., Morie T., Tamukoh H.

Neurocomputing 427 191 - 200 2021年02月

記述言語：英語掲載種別：研究論文（学術雑誌）

This paper proposes a hardware-oriented dropout algorithm, which is efficient for field programmable gate array (FPGA) implementation. In deep neural networks (DNNs), overfitting occurs when networks are overtrained and adapt too well to training data. Consequently, they fail in predicting unseen data used as test data. Dropout is a common technique that is often applied in DNNs to overcome this problem. In general, implementing such training algorithms of DNNs in embedded systems is difficult due to power and memory constraints. Training DNNs is power-, time-, and memory- intensive; however, embedded systems require low power consumption and real-time processing. An FPGA is suitable for embedded systems for its parallel processing characteristic and low operating power; however, due to its limited memory and different architecture, it is difficult to apply general neural network algorithms. Therefore, we propose a hardware-oriented dropout algorithm that can effectively utilize the characteristics of an FPGA with less memory required. Software program verification demonstrates that the performance of the proposed method is identical to that of conventional dropout, and hardware synthesis demonstrates that it results in significant resource reduction.

DOI： 10.1016/j.neucom.2020.11.055

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85098454549&origin=inward

Performance Evaluation of Reservoir Computing Using Pseudo-Billiard Dynamics in Hypercube 査読有り

D. Kamimura, Y. Katori, H. Tamukoh, and T. Morie

Proc. of the 2020 Int. Symp. on Nonlinear Theory and Its Applications (NOLTA2020) 135 - 135 2020年11月

A Reservoir Based Q-learning Model for Autonomous Mobile Robots 査読有り

M. Inada, Y. Tanaka, H. Tamukoh, K. Tateno, T. Morie, Y. Katori

Proc. of the 2020 Int. Symp. on Nonlinear Theory and Its Applications (NOLTA2020) 213 - 216 2020年11月

FPGA Implementation and Verification of Reservoir Computing Based on Pseudo-Billiard Dynamics in Hypercube 査読有り

D. Yamamoto, I. Kawashima, H. Tamukoh, T. Morie, Y. Katori

Proc. of the 2020 Int. Symp. on Nonlinear Theory and Its Applications (NOLTA2020) 264 - 264 2020年11月

A Brain-inspired Artificial Intelligence Model of Hippocampus, Amygdala, and Prefrontal Cortex on Home Service Robots 査読有り

Y. Tanaka, H. Tamukoh, K. Tateno, Y. Katori, T. Morie

Proc. of the 2020 Int. Symp. on Nonlinear Theory and Its Applications (NOLTA2020) 138 - 141 2020年11月

A Reservoir Computing System Using a CMOS Chaotic Boltzmann Machine Chip Controlled by SoC FPGA 査読有り

Y. Nishimura, M. Yamaguchi, D. Kamimura, H. Tamukoh, T. Morie

Proc. of the 2020 Int. Symp. on Nonlinear Theory and Its Applications (NOLTA2020) 137 - 137 2020年11月

A Hippocampus Model for Episodic Memory Processing Using Associative Memory 査読有り

H. Nakagawa, K. Tateno, K. Takada, T. Morie

Proc. of the 2020 Int. Symp. on Nonlinear Theory and Its Applications (NOLTA2020) 136 - 136 2020年11月

A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design 国際誌

Y. Sakemi, K. Morino, T. Morie, K. Aihara

arXiv.org 2020年01月

An Energy-efficient Time-domain Analog VLSI Neural Network Processor Based on a Pulse-width Modulation Approach 国際誌

M. Yamaguchi, G. Iwamoto, H. Tamukoh, T. Morie

arXiv.org 1810.06819 2019年02月

A Time-domain Analog Weighted-sum Calculation Model for Extremely Low Power VLSI Implementation of Multi-layer Neural Networks 国際誌

Q. Wang, H. Tamukoh, T. Morie

arXiv.org 1810.06819 2018年10月

Spike-based Time-domain Weighted-sum Calculation Using Nanodevices for Low Power Operation 招待有り査読有り

T. Morie, H. Liang, T. Tohara, H. Tanaka, M. Igarashi, S. Samukawa, K. Endo, Y. Takahashi

16th Int. Conf. on Nanotechnology (IEEE NANO) 390 - 392 2016年08月

Measurement and Analysis of a CMOS Chaotic Spiking Oscillator Circuit That Acts as a Filter of Spike Trains 査読有り

M. Yamaguchi, S. Uenohara, T. Morie, H. Tamukoh, K. Aihara,

Proc. of the 2015 Int. Symp. on Nonlinear Theory and its Applications (NOLTA2015) 515 - 518 2015年12月

A CMOS Circuit for PWM-mode Nonlinear Transformation Robust to Device Mismatches to Implement Coupled Map Lattice Models 査読有り

S. Uenohara, D. Atuti, K. Matsuzaka, H. Tamukoh, T. Morie, K. Aihara

Nonlinear Theory and Its Applications, IEICE 6 ( 4 ) 570 - 581 2015年10月

VLSI Pulse-Coupled Phase Oscillator Networks and Their Emulator toward Spike-based Computation for Intelligent Processing 招待有り査読有り

H. Tamukoh, Y. Suedomi, K. Matsuzaka, T. Morie

Ext. Abstracts of Int. Conf. on Solid State Devices and Materials (SSDM 2015) 806 - 807 2015年09月

Shadow Detection and Elimination Using a Light-source Color Vector and Its Application to In-vehicle Camera Images 査読有り

M. Tanaka, T. Morie

International Journal of Innovative Computing, Information and Control 11 ( 3 ) 865 - 879 2015年06月

A Silicon Nanodisk Array Structure Realizing Synaptic Response of Spiking Neuron Models with Noise 招待有り査読有り

T. Morie, H. Liang, Y. Sun, T. Tohara, M. Igarashi, S. Samukawa

The 19th Asia and South Pacific Design Automation Conference 185 - 190 2014年01月

Three-terminal Ferroelectric Synapse Device with Concurrent Learning Function for Artificial Neural Networks 査読有り

Y. Nishitani, Y. Kaneko, M. Ueda, T. Morie, E. Fujii

Journal of Applied Physics 111 124108 2012年06月

Analog CMOS Circuit Implementation of a Pulse-coupled Phase Oscillator System and Observation of Synchronization Phenomena, 査読有り

K. Matsuzaka, T. Tohara, K. Nakada, T. Morie

Nonlinear Theory and Its Applications, IEICE 3 ( 2 ) 180 - 190 2012年04月

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