The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 28-881
Full Name: Chin-pao Hung
Position: Assistant Professor
Age: ON
Sex: Male
Address: 35 Lane 215 Chung-Shan Rd. Sec. 1,Taiping City, Taichung County 411 Taiwan, R. O. C.
Country: TAIWAN
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Tel prefix:
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E-mail address: cbhong@ncut.edu.tw
Other E-mails: hcb@mail.tbcnet.net
Title of the Paper: melancholia diagnosis based on GDS evaluation and meridian energy measurement using CMAC neural network approach
Authors as they appear in the Paper: Chin-pao Hung , Hong-jhe Su , Shih-liang Yang
Email addresses of all the authors: cbhong@ncut.edu.tw, whitedog175@yahoo.com.tw, ysl451ysl@yahoo.com.tw
Number of paper pages: 10
Abstract: In this paper, a preliminary result about the melancholia diagnosis scheme based on the analyses of depression questionnaire and the meridian energy of human body using CMAC (Cerebellar Model Articulation Controller) neural network approach is proposed. Firstly, a large amount data obtained from hospital, recorded the aged patients¡¦ depression rating scales and the 12 sets meridian energy signals, are sieved out three disease groups¡¦ patterns. Assuming the recorded data can describe the necessary features of the melancholia patient. Then, we built a CMAC neural network to learn the melancholia features depending on the three disease groups¡¦ patterns. By the sufficient training, the diagnosis architecture will memorize the features of the selected melancholia patient patterns. Finally, the built diagnosis system can used to diagnose the depression scale by inputting the 12 sets meridian energy signals of human body into CMAC neural network. To benefit the pattern!
collection, re-training, diagnosis and the data analyses, a PC-based friendship operation interface is developed in this paper also. Such as the function of new pattern addition, retraining, and the memory weights distribution plots are appeared in the interface.
Keywords: energy medicine, disease diagnosis, melancholia, depression questionnaire, CMAC, GDS, neural network
EXTENSION of the file: .pdf
Special (Invited) Session: Melancholia Diagnosis Based on Energy Medicine Information and CMAC Neural Network Approach
Organizer of the Session: 609-46.pdf
How Did you learn about congress: sshung@fcu.net.tw
IP ADDRESS: 123.110.8.51
