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A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients. (Khashman, Adnan,)

Bibliographical information (record 269915)

A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients.
Author:	Khashman, Adnan, Search Author in Amazon Books
Publisher:	IEEE-Inst Electrical Electronics Engineers Inc.,

Edition:	2008.
Classification:	QA76.9
URL:	http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1109/TNN.2008.2002913

Detailed notes

- Much of the research work into artificial intelligence (AI) has been focusing on exploring various potential applications of intelligent systems with successful results in most cases. In our attempts to model human intelligence by mimicking the brain structure and function, we overlook an important aspect in human learning and decision making: the emotional factor. While it currently sounds impossible to have "machines with emotions," it is quite conceivable to artificially simulate some emotions in machine learning. This paper presents a modified backpropagation (BP) learning algorithm, namely, the emotional backpropagation (EmBP) learning algorithm. The new algorithm has additional emotional weights that are updated using two additional emotional parameters: anxiety and confidence. The proposed "emotional" neural network will be implemented to a facial recognition problem, and the results will be compared to a similar application using a conventional neural network. Experimental results show that the addition of the two novel emotional parameters improves the performance of the neural network yielding higher recognition rates and faster recognition time.