ATTRACTOR ANALYSIS IN ASSOCIATIVE NEURAL NETWORKS AND ITS APPLICATION TO FACIAL IMAGE ANALYSIS

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SEYYEDSALEHI SEYYEDEH ZOHREH; SEYYEDSALEHI SEYYED ALI

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Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2018 | Volume:9 | Issue:1 Page(s): 79-95

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Title

ATTRACTOR ANALYSIS IN ASSOCIATIVE NEURAL NETWORKS AND ITS APPLICATION TO FACIAL IMAGE ANALYSIS

Author(s)

SEYYEDSALEHI SEYYEDEH ZOHREH | SEYYEDSALEHI SEYYED ALI | Issue Writer Certificate

Keywords

ASSOCIATIVE NEURAL NETWORKSQ1

ATTRACTOR DYNAMICSQ1

FACE IMAGESQ1

FIXED POINTQ1

RECURSIVE CONNECTIONQ1

Abstract

Auto ASSOCIATIVE NEURAL NETWORKS can be used for nonlinear processing and normalization of data.Because, firstly, they are able to learn and simulate complex nonlinear communications, and secondly, the communications can be learned through analyzing and distributing information on the neurons and weights and then combining the results of their processing. In this way, they actually make an interpolation between the input data and their communications. But these neural networks cannot model ATTRACTOR DYNAMICS that is obviously used in brain function. In this paper, the output of auto associative neural network is connected to its input, and through RECURSIVE CONNECTIONs the ability of attractor behavior in these models is provided. This study showed that a recursive neuron with a logistic function forms two attractors, in its training point and its symmetry, but for it with a sigmoid nonlinear function can be formed an attractor in a certain range. In the experiments on FACE IMAGES, it was shown that the absorbance of the images to their attractors was improved from 52.67% to 87.27% by increasing the number of layers and the supervised layer-by-layer pre-training in order to adjust the attractors.

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APA: Copy

SEYYEDSALEHI, SEYYEDEH ZOHREH, & SEYYEDSALEHI, SEYYED ALI. (2018). ATTRACTOR ANALYSIS IN ASSOCIATIVE NEURAL NETWORKS AND ITS APPLICATION TO FACIAL IMAGE ANALYSIS. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 9(1 ), 79-95. SID. https://sid.ir/paper/202953/en

Vancouver: Copy

SEYYEDSALEHI SEYYEDEH ZOHREH, SEYYEDSALEHI SEYYED ALI. ATTRACTOR ANALYSIS IN ASSOCIATIVE NEURAL NETWORKS AND ITS APPLICATION TO FACIAL IMAGE ANALYSIS. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2018;9(1 ):79-95. Available from: https://sid.ir/paper/202953/en

IEEE: Copy

SEYYEDEH ZOHREH SEYYEDSALEHI, and SEYYED ALI SEYYEDSALEHI, “ATTRACTOR ANALYSIS IN ASSOCIATIVE NEURAL NETWORKS AND ITS APPLICATION TO FACIAL IMAGE ANALYSIS,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 9, no. 1 , pp. 79–95, 2018, [Online]. Available: https://sid.ir/paper/202953/en

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