ニューラルネットワークを用いた感性検索モデル

• 奥中 大地

  関西大学大学院理工学研究科

• 徳丸 正孝

  関西大学システム理工学部

書誌事項

タイトル別名

• Kansei Retrieval Model using a Neural Network

抄録

In this paper, we propose a Kansei Retrieval model using a neural network. It is very difficult to design Kansei Retrieval Agent to imitate a user's Kansei. To solve this problem, we use the neural network, which is comparatively easy to design. The neural network is a mathematical model that imitates brain functions. Therefore, we assume that the input of the neural network is a stimulation that a user received, and the output of the neural network is a user's impression of the stimulation. In this paper, the effectiveness of the proposed model was verified by a simulation using an evaluation agent instead of a user.

収録刊行物

• 日本感性工学会論文誌

  日本感性工学会論文誌 11 (2), 331-338, 2012

  日本感性工学会

キーワード

• Kansei Retrieval Agent
• Neural Network
• Genetic Algorithm

詳細情報

• CRID: 1390282680303589888
• NII論文ID: 130002148591
• DOI: 10.5057/jjske.11.331
• ISSN: 18845258
• ISSN: 18840833
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可