D-4-6 Visualization of EMR by Using Mining Technology

スポンサーリンク

概要

• 論文の詳細を見る
• 社団法人電子情報通信学会の論文
• 2009-03-04

著者

• TAMURA Hiroki

  Faculty of Engineering, Toyama University

• Ikeda Mituru

  School Of Knowledge Science At The Jaist (japanese Advanced Institute Of Science And Technology)

• TANNO Koichi

  Faculty of Engineering, Miyazaki University

• ISHIZUKA Okihiko

  Faculty of Engineering, Miyazaki University

• Tamura Hiroki

  Faculty Of Engineering Toyama University

• Tanno K

  Miyazaki Univ. Miyazaki‐shi Jpn

• 丹野 浩一

  一関工高専

• Tanno Koichi

  Faculty Of Engineering Miyazaki University

• Tamura Hiroki

  Faculty Of Engineering University Of Miyazaki

• Kushima Muneo

  Faculty of Medicine, University of Miyazaki Hospital

• Araki Kenji

  Faculty of Medicine, University of Miyazaki Hospital

• Suzuki Muneou

  Faculty of Medicine, University of Miyazaki Hospital

• Araki Sanae

  Faculty of Medicine, University of Miyazaki Hospital

• Toyama Takako

  Faculty of Engineering, University of Miyazaki

• ISHIZUKA Okihiko

  Miyazaki University

• Ishizuka Okihiko

  The Faculty Of Engineering Miyazaki University

• Ishizuka Okihiko

  Faculty Of Engineering Miyazaki University

• Araki Sanae

  Faculty Of Medicine University Of Miyazaki Hospital

• Toyama Takako

  Faculty Of Engineering University Of Miyazaki

• Suzuki Muneou

  Faculty Of Medicine University Of Miyazaki Hospital

• Kushima M

  Faculty Of Medicine University Of Miyazaki Hospital

• Kushima Muneo

  Faculty Of Engineering Miyazaki University

• TAMURA Hiroki

  University of Miyazaki

• Araki Kenji

  Faculty Of Medicine University Of Miyazaki Hospital

関連論文

• A High-Speed Binary to Residue Converter Using a Signed-Digit Number Representation
• 環境負荷低減技術によるキチン系バイオマス資源の高度利用 (特集 最近の食品プロセス工学の話題から)
• 1Hp11 セルロース系バイオマスのメカノケミカル粉砕処理と酵素糖化(バイオマス・資源・エネルギー工学,一般講演)
• ダイヤモンドと溶融金属とのぬれ性
• Mn3O4-NiOサ-ミスタの特性におよぼすAl2O3添加の影響
• Multilayer Network Learning Algorithm Based on Pattern Search Method(Neural Networks and Bioengineering)
• 環境負荷低減技術によるキチン系バイオマス資源の高度利用 : メカノケミカル粉砕処理と酵素糖化
• 新しいエネルギー集中型媒体ミルによるZnO-TiO_2系化合物粉末のメカノケミカル合成
• キチン系バイオマス資源高度利用のための環境負荷低減技術(第2報)
• 3Ga13 メカノケミカル粉砕および酵素処理によるキチン質の糖化反応(酵素学,酵素工学,タンパク質工学,糖鎖工学,一般講演)
• エネルギー集中型高速高純度反応粉砕機, コンバージミル
• コンバージミルにおける環境分野への応用 (特集 業種別に見る粉体技術の活用)
• Objective Function Adjustment Algorithm for Combinatorial Optimization Problems(Numerical Analysis and Optimization)
• An Improved Artificial Immune Network Model(Neural Networks and Bioengineering)
• A Neural-based Algorithm for Topological Via-minimization Problem
• A New Method to Solve the Constraint Satisfaction Problem Using the Hopfield Neural Network
• An Artificial Immune Network with Multi-layered B Cells Architecture
• An Artificial Immune System Architecture and Its Applications(Neural Networks and Bioengineering)
• The Fuzzy Immune Network and Its Application to Pattern Recognition(Special Section on Papers Selected from ITC-CSCC 2002)
• Design and realization of a network security model
• Affinity Based Lateral Interaction Artificial Immune System(Human-computer Interaction)
• Avoiding the Local Minima Problem in Backpropagation Algorithm with Modified Error Function(Neural Networks and Bioengineering)
• D-4-6 Visualization of EMR by Using Mining Technology
• An Engineering Immune Network Model for Pattern Recognition
• Pattern Classification Using A Fuzzy Immune Network Model
• D-2-6 A Parallel Direct Search Learning Algorithm for Feed-Forward Neural Networks
• メカニカルアロイングおよびメカノケミカル反応等の技術の発展に寄与するコンバージミル (特集 粉砕の現在と近未来技術)
• A Multi-Layered Immune System for Graph Planarization Problem
• Learning Method of Hopfield Neural Network and Its Application to Traveling Salesman Problem (特集:論文誌C発刊30周年記念)
• A Boolean Algebra Based Learnable Network
• A Learning Multiple-Valued Logic Network that can Explain Reasoning (特集 学習と自己組織化のアルゴリズム--理論とその応用)
• A Multiple-Valued Immune Network and Its Applications
• Neuron-MOS Current Mirror Circuit and Its Application to Multi-Valued Logic (Special Issue on Multiple-Valued Logic and Its Applications)
• A 1-V, 1-V_ Input Range, Four-Quadrant Analog Multiplier Using Neuron-MOS Transistors
• Ultra-Low Power Two-MOS Virtual-Short Circuit and Its Application
• Neuron-MOS V_T Cancellation Circuit and Its Application to a Low-Power and High-Swing Cascode Current Mirror
• 自己学習ファジ-コントロ-ラ
• High accuracy microprocessor controlled sine-wave generator
• 1 : n^2 MOS Cascode Circuits and Their Applications
• Design and Implementation of a Calibrating T-Model Neural-Based A/D Converter
• Hopfield Neural Network Learning Using Direct Gradient Descent of Energy Function
• Implementation of T-Model Neural-Based PCM Encoders Using MOS Charge-Mode Circuits
• A Learning Fuzzy Network and Its Applications to Inverted Pendulum System
• Midpoint-Validation Method for Support Vector Machine Classification
• Low-Voltage, Wide-Common-Mode-Range and High-CMRR CMOS OTA
• Design of CMOS OTAs for Low-Voltage and Low-Power Application
• Analog Inverter with Neuron-MOS Transistors and Its Application(Special Section on Analog Circuit Techniques and Relate)
• Multiple-Valued Neuro-Algebra
• A Model of Neurons with Unidirectional Linear Response
• Multiple-Valued Static Random-Access-Memory Design and Application : Special Issue on Multiple-Valued integrated Circuits
• Low-Voltage, Low-Distortion and Rail-to-Rail CMOS Sample and Hold Circuit(Nonlinear Theory and its Applications)
• Two-Phase Pattern Search-based Learning Method for Multi-layer Neural Network
• Optimization and Verification of Current-Mode Multiple-Valued Digit ORNS Arithmetic Circuits
• Combiner-Based MOS OTAs(Analog Signal Processing)
• Wide-Input Range Variable Resistor Circuit Using an FG-MOSFET(Analog Signal Processing)
• Wide-Input Range Variable Resistor Circuit Using an FG-MOSFET
• Wide Input-Range Four-Quadrant Analog Multiplier Using Floating-Gate MOSFET's(Analog Signal Processing)
• Wide-Input-Range Four-Quadrant Analog Multiplier Using Floating-Gate MOSFET's
• Low-Power and Wide-Input Range Voltage Controlled Linear Variable Resistor Using an FG-MOSFET and Its Application
• Design of a Novel MOS V_T Extractor Circuit
• 新材料創製技術として期待されるメカニカルアロイングとその周辺技術 (特集 活躍する破砕・粉砕技術)
• せん断型ミルによる粒子複合化とその応用 (新素材・ファインケミカルズの話題)
• 高真空剪断型ミルを用いた2重被覆型および多相分散被覆型複合粒子の調製 (〔粉体工学会〕第28回技術討論会--機能性材料製造のための混合・混練・分散技術)
• 新素材開発に寄与する金属系粉体 (高度化する粉体材料のファイン化技術)
• Sintering and Properties of SUS316L/PSZ Composite Particles
• メカノフュ-ジョン法による金属/セラミックス複合粒子の製造 (〔粉体工学会〕第25回夏期シンポジウム特集--粒子の分散--その手法と考え方)
• 金属粉のメカノフュ-ジョン処理による効果 (粒子の複合化技術とその特性評価)
• Design and Implementations of a Learning T-Model Neural Network
• Investigation and Analysis of Hysteresis in Hopfield and T-Model Neural Networks
• T-Model Neural Network for PCM Encoding
• O-201 木質系バイオマスの連続式コンバージミル粉砕と酵素糖化特性(セッション2:技術1:エタノール変換,研究発表,(口頭発表))
• New Circuit of Back-Gate Driven Flipped Voltage Follower

もっと見る 閉じる

スポンサーリンク