A SA-ANN-Based Modeling Method for Human Cognition Mechanism and the PSACO Cognition Algorithm
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-04
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
Artificial neural networks (ANNs) are the important approaches for researching human cognition process.
However, current ANNs-based cognition methods cannot address the problems of complex information understanding and fault-tolerant learning.
Here we present a modeling method for cognition mechanism based on a simulated annealing–artificial neural network (SA-ANN).
Firstly, the relationship between SA processing procedure and cognition knowledge evolution is analyzed, and a SA-ANN-based inference model is set up.
Then, based on the inference model, a Powell SA with combinatorial optimization (PSACO) algorithm is proposed to improve the clustering efficiency and recognition accuracy for the cognition process.
Finally, three groups of numerical instances for knowledge clustering are provided, and three comparative experiments are performed by self-developed cognition software.
The simulated results show that the proposed method can increase the convergence rate by more than 20%, compared with the back-propagation (BP), SA, and restricted Boltzmann machines based extreme learning machine (RBM-ELM) algorithms.
The comparative cognition experiments prove that the method can obtain better performances of information understanding and fault-tolerant learning, and the cognition accuracies for original sample, damaged sample, and transformed sample can reach 99.6%, 99.2%, and 97.1%, respectively.
American Psychological Association (APA)
Chen, Shuting& Tan, Dapeng. 2018. A SA-ANN-Based Modeling Method for Human Cognition Mechanism and the PSACO Cognition Algorithm. Complexity،Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1135028
Modern Language Association (MLA)
Chen, Shuting& Tan, Dapeng. A SA-ANN-Based Modeling Method for Human Cognition Mechanism and the PSACO Cognition Algorithm. Complexity No. 2018 (2018), pp.1-21.
https://search.emarefa.net/detail/BIM-1135028
American Medical Association (AMA)
Chen, Shuting& Tan, Dapeng. A SA-ANN-Based Modeling Method for Human Cognition Mechanism and the PSACO Cognition Algorithm. Complexity. 2018. Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1135028
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135028