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| Incorporating Kalman Filter in the Optimization of Quantum Neural Network Parameters
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Full
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 PDF(102.1KB) |
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Source |
International Journal of Artificial Intelligence and Expert Systems (IJAE) |
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Table of Contents |
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Download
Complete Issue PDF(341.18KB) |
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Volume: 3 Issue: 2 |
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Pages: NULL |
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Publication
Date: April 2012 |
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ISSN
(Online): 2180-124X |
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Pages |
28 - 38 |
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Author(s) |
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Published
Date |
16-04-2012 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
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KEYWORDS: Quantum Neural Network, Extended Kalman filter, Training |
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| Kalman filter have been used for the estimation of instantaneous states of linear dynamic systems. It is a good tool for inferring of missing information from noisy measurement. The quantum neural network is another approach to the merging of fuzzy logic with the neural network and that by the investment of quantum mechanics theory in building the structure of neural network. The gradient descent algorithm has been used, widely, in training the neural network, but the problem of local minima is one of the disadvantages of this algorithm. This paper presents an algorithm to train the quantum neural network by using the extended kalman filter. |
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| Hayder Mahdi Abdulridha : Colleagues
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