Quantum Particle Swarm Optimization Tuned Artificial Neural Network Equalizer-Reference-Cited by-同舟云学术

Quantum Particle Swarm Optimization Tuned Artificial Neural Network Equalizer

Published:2017-11-25 Issue: Volume: Page:579-585
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
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Author:

Das Gyanesh,Panda Sunita,Padhy Sasmita Kumari

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-5687-1_52

Reference32 articles.

1. Saha, S., et.al.: Comprehensive learning particle swarm optimization based TSK structure identification and its application in OFDM receiver for nonlinear channel equalization. In: National Conference on Communications (NCC) (2011)

2. Eshwaraiah, H.S., et.al.: Cooperative particle swarm optimization based receiver for large-dimension MIMO-ZPSC systems. In: IEEE Wireless Communications and Networking Conference (WCNC) (2012)

3. Krusienski, D.J.: et.al.: The application of particle swarm optimization to adaptive IIR phase equalization. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (2004)

4. El Morra, H., et.al.: Application of heuristic algorithms for multiuser detection. In: IEEE International Conference on Communications (2006)

5. Sun, J., et.al.: A global search strategy of quantum-behaved particle swarm optimization. In: IEEE Conference on Cybernetics and Intelligent Systems, vol. 1–3, 111–116 (2004)

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