Presentation 2022-08-04
On Learning of MLP by PSO with Perturbati
Riku Takatou, Kenya Jin'no,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Attempt to learn the coupling coefficients of a multiclass classifier using a simplified multilayer perceptron (MLP) with the particle swarm optimization (PSO) method. The MLP is trained to be able to separate data sets that are not linearly separable. Experimentally examine the effect of tangent motion on each particle during the search for the optimal solution of PSO on the learning and update frequency of the MLP
Keyword(in Japanese) (See Japanese page)
Keyword(in English) particle swarm optimization / multilayer perceptron / learning / accuracy / gradient method
Paper # CCS2022-32
Date of Issue 2022-07-28 (CCS)

Conference Information
Committee IN / CCS
Conference Date 2022/8/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hokkaido University(Centennial Hall)
Topics (in Japanese) (See Japanese page)
Topics (in English) Network Science, Future Network, Cloud/SDN/Virtualization, Contents Delivery/Contents Exchange, and others
Chair Kunio Hato(Internet Multifeed) / Megumi Akai(Hokkaido Univ.)
Vice Chair Tsutomu Murase(Nagoya Univ.) / Hidehiro Nakano(Tokyo City Univ.) / Masaki Aida(TMU)
Secretary Tsutomu Murase(KDDI Research) / Hidehiro Nakano(Nagaoka Univ. of Tech.) / Masaki Aida(NTT)
Assistant / Hiroyuki Yasuda(Univ. of Tokyo) / Hiroyasu Ando(Tsukuba Univ.) / Tomoyuki Sasaki(Shonan Inst. of Tech.) / Miki Kobayashi(Rissho Univ.)

Paper Information
Registration To Technical Committee on Information Networks / Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Learning of MLP by PSO with Perturbati
Sub Title (in English)
Keyword(1) particle swarm optimization
Keyword(2) multilayer perceptron
Keyword(3) learning
Keyword(4) accuracy
Keyword(5) gradient method
1st Author's Name Riku Takatou
1st Author's Affiliation Tokyo City University(Tokyo City Univ.)
2nd Author's Name Kenya Jin'no
2nd Author's Affiliation Tokyo City University(Tokyo City Univ.)
Date 2022-08-04
Paper # CCS2022-32
Volume (vol) vol.122
Number (no) CCS-145
Page pp.pp.30-34(CCS),
#Pages 5
Date of Issue 2022-07-28 (CCS)