Statistical-mechanical approach for analog neural network model used in image restoration

スポンサーリンク

概要

• 論文の詳細を見る

• The ability to restore an image from signals received through a noisy channel is an important concern. This issue is related to the physics theory of spin-glass. In the theory, the Ising spin system is usually used for image restoration; however a lot of calculation time is needed to obtain precise solution. As a result many researchers substitute the Ising spin model with the analog neural network model. We analyzed the analog neural network ability applied to the image restoration problem using the mean field theory.

• 一般社団法人情報処理学会の論文
• 2001-06-26

著者

• Shouno H.

  Dept. Obst. And Gynec. Saga Med. Sch.

• Shouno H

  Nara Women's Univ. Nara Jpn

• Okada M.

  JST, ERATO, Kawato Dynamic Brain Project

• Okada Masato

  JST, ERATO, Kawato Dynamic Brain Project

• Shouno Hayaru

  Dept. of Biophysical Engineering, School of Enggineering Science, Osaka Univ.

関連論文

• 165 Elucidation of intellectual information processing due to analysis of the relationship between the information and the recognition at perinatal outpatient clinic.
• 446 Application of fuzzy theory to Apgar scoring system.
• 440 Artificial Intelligence for Perinatal Management, Using the Fuzzy Theory.
• 434 Relationship between the placental location and the flow velocity waveform of bilateral uterine artery.
• 540. High Risk Screening System by Means of Artificial Intellingence
• 529. Synchronization of Twins' Fetal Behaviors : Fetal Heart Rate Pattern
• Statistical-mechanical approach for analog neural network model used in image restoration

スポンサーリンク