USING BACK PROPAGATION NEURAL NETWORK TECHNIQUES ON PREDICTION OF TAIWAN STOCK MARKET
Published In: INTERNATIONAL CONFERENCE ON FUTURE TRENDS IN COMPUTING AND COMMUNICATION FTCC
Author(s): FU-JYH KO , JIAN-HON LIU , JIN-CHERNG LIN , YUEH-TING LIN
Abstract: In this research, we use Back Propagation Network method combined statistics to measure up the analysis on the close value of stock market, and individual stocks and predict the trend of stock and individual stocks index in a period of time, also use RMSE and daily average error to analyze result. During this research, we use the close value of Taiwan Stocks Index from 1999 to 2010, and for the individual stock, we choose Taiwan Semiconductor Manufacturing Company (TSMC) and ASUS Company to perform the test. Based on the training data of the Back Propagation Network and prediction data during this experiment result, we find out use Back Propagation Network method combined statistics can achieve certain degree result on assessment
- Publication Date: 13-Jul-2013
- DOI: 10.15224/978-981-07-7021-1-27
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DEVELOPMENT OF 3D MEASUREMENT SYSTEM USING PHASE-SHIFT DIGITAL HOLOGRAPHY
Published In: INTERNATIONAL CONFERENCE ON FUTURE TRENDS IN COMPUTING AND COMMUNICATION FTCC
Author(s): HIDEYOSHI HORIMAI , MASAHIRO HOGURO , QIYUE YU , RYO TAGUCHI
Abstract: We propose a digital holography reconstruction method using convolution approach rather than the conventional Fresnel approach. Simultaneously, we propose a 3D measure-ment system of phase-shift digital holography using principle of light detector. Using proposal method, we develop a compact 3D measurement system of phase-shift digital holography with low price and high measurement accuracy.
- Publication Date: 13-Jul-2013
- DOI: 10.15224/978-981-07-7021-1-28
- Views: 0
- Downloads: 0