Image Detection Technology of Implicit Sequence Difference Based on Differential Information Theory

DOI

10.2991/amcce-15.2015.141How to use a DOI?

Keywords

Emotional openness; Implicit sequence; Curve fitting; Genetic algorithm; RSI test; differences

Abstract

Implicit sequence learning paradigm is an important form of implicit learning. In order to study the probability implicit sequence differences of high and low emotion openness, this paper uses stepwise half method to select different RSI points, and each RSI point is done binary coding, finally it uses the genetic algorithm to complete the cross process of sequence. Through the iteration calculation and comparison, this paper obtains the implicit test scores in different RSI conditions for different openness, finally carries on the curve fitting for multiple RSI points scores by using the MATLAB software. From the fitting results it can be found that implicit awareness process for high emotion openness and low emotion openness is different, and implicit learning test result has certain changing trend with RSI, so as to reveal the implicit gradient process difference of high and low emotion openness.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jinfeng Guo
AU  - Jing Shao
PY  - 2015/04
DA  - 2015/04
TI  - Image Detection Technology of Implicit Sequence Difference Based on Differential Information Theory
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 1155
EP  - 1160
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.141
DO  - 10.2991/amcce-15.2015.141
ID  - Guo2015/04
ER  -