A Physiology Activity Value Prediction of Functional Foods Using Bayes Classifier
スポンサーリンク
概要
- 論文の詳細を見る
ABSTRACT Body-control function of foods has been appealed in recent years. For evaluating body-control function of foods, it is necessary to make experiments to measure quantity of ingredients of foods for estimating physiology activity values, and requires a lot of time. We give a new twist to estimate physi-ology activity values from quantity of protein expression, because to measure quantity of protein expres-sion is easier than to experiment for estimating physiology activity values. This research employs Bayes classifier which minimizes estimation error of physiology activity values.
- 宮崎大学の論文
- 2006-08-30
著者
-
Yoshihara Ikuo
Faculty Of Engineering Miyazaki University
-
Yamamori Kunihito
Faculty Of Engineering Miyazaki University
-
Tougou Syunichi
Faculty of Engineering, Miyazaki University
-
Tougou Syunichi
Faculty Of Engineering Miyazaki University
関連論文
- A New Three-Level Tree Data Structure for Representing TSP Tours in the Lin-Kernighan Heuristic(Optimization,Nonlinear Theory and its Applications)
- Greedy Genetic Algorithms for Symmetric and Asymmetric TSPs (特集 進化的計算)
- Multi-Modal Neural Networks for Symbolic Sequence Pattern Classification(Biocybernetics, Neurocomputing)
- A Physiology Activity Value Prediction of Functional Foods Using Bayes Classifier
- An Efficient Job Scheduling Algorithm for Grid Environment with Communication Delay
- Estimating Physiology Activity of Functional Foods with Self-Organizing Map
- A High-Signal-Integrity PCB Trace Composed of Multiple Segments for GHz VLSI Packaging: Its Prototyping and Performance Analysis