A Self-Organizing Map Approach for Detecting Confusion between Blood Samples
スポンサーリンク
概要
- 論文の詳細を見る
- 計測自動制御学会の論文
- 2005-07-31
著者
-
Minamide Naoki
Sysmex Corporation
-
Kamiura N
Graduate School Of Engineering University Of Hyogo
-
KOEDA Noriaki
Sysmex Corporation
-
Ohtsuka Akitsugu
Yamato Scale Co. Ltd.
-
ISOKAWA Teijiro
Graduate School of Engineering, University of Hyogo
-
OHTSUKA Akitsugu
Division of Computer Engineering, University of Hyogo
-
KAMIURA Naotake
Division of Computer Engineering, University of Hyogo
-
ISOKAWA Teijiro
Division of Computer Engineering, University of Hyogo
-
MATSUI Nobuyuki
Division of Computer Engineering, University of Hyogo
-
OKAMOTO Minoru
SYSMEX CORPORATION
-
Matsui N
Graduate School Of Engineering University Of Hyogo
-
Isokawa Teijiro
Graduate School Of Engineering University Of Hyogo
関連論文
- A Learning Algorithm with Activation Function Manipulation for Fault Tolerant Neural Networks
- On a Weight Limit Approach for Enhancing Fault Tolerance of Feedforward Neural Networks
- Design of Multiple-Valued Programmable Logic Array with Unary Function Generators
- Design and Fault Masking of Two-Level Cellular Arrays on Multiple-Valued Logic
- On Ternary Cellular Arrays Designed from Ternary Decision Diagrams
- Design of Repairable Cellular Arrays on Multiple-Valued Logic
- Design of a Multiple-Valued Cellular Array (Special Issue on Multiple-Valued Integrated Circuits)
- Evaluation of measurement and differentiation of nucleated cell in bone marrow using hematology analyzer XT-2000iV for laboratory animals(Test methods, Proceedings of the 32nd Annual Meeting)
- Classification for data of hematopoietic tumor patients with fast block-matching-based self-organizing map learning in dynamic environments (特集 医用システム)
- Self-Organizing Map Based Data Detection of Hematopoietic Tumors(Nonlinear Problems)
- Self-Organizing Map Based on Block Learning(Nonlinear Problems)
- A Self-Organizing Map Approach for Detecting Confusion between Blood Samples
- On Fault-Tolerant Fuzzy Controllers Based on Shifting Fuzzy Variables