Open Access

Fuzzy Method and Neural Network Model Parallel Implementation of Multi-Layer Neural Network Based on Cloud Computing for Real Time Data Transmission in Large Offshore Platform

 and    | Sep 13, 2017
Polish Maritime Research's Cover Image
Polish Maritime Research
Special Issue: Computing Science and Mechanical Engineering in Marine

Cite

1. Bhandarkar S M, Wang X: Efficient parallel implementation of the multi-layer perceptron on an SIMD mesh architecture. Neural Parallel & Scientific Computations, Vol. 4, no. 1, pp. 69-82, 1996.Search in Google Scholar

2. Li X J, Li L: IP Core Based Hardware Implementation of Multi-Layer Perceptrons on FPGAs: A Parallel Approach. Advanced Materials Research, Vol. 433, pp.:5647-5653, 2012.10.4028/www.scientific.net/AMR.433-440.5647Search in Google Scholar

3. Kalaitzakis K, Stavrakakis G S, Anagnostakis E M: Shortterm load forecasting based on artificial neural networks parallel implementation. Electric Power Systems Research, Vol. 63, no. 3, pp.185-196, 2012.10.1016/S0378-7796(02)00123-2Search in Google Scholar

4. Kim Y C, Shanblatt M A: Architecture and statistical model of a pulse-mode digital multilayer neural network. IEEE Transactions on Neural Networks, Vol. 6, no. 5, pp.1109- 1118, 1995.Search in Google Scholar

5. Hikawa H: Frequency-based multilayer neural network with on-chip learning and enhanced neuron characteristics. IEEE Transactions on Neural Networks, Vol. 10, no. 3, pp.:545-53, 1995.10.1109/72.76171118252552Search in Google Scholar

6. Serpen G, Gao Z: Complexity Analysis of Multilayer Perceptron Neural Network Embedded into a Wireless Sensor Network. Procedia Computer Science, Vol. 36, pp.192-197, 2014.10.1016/j.procs.2014.09.078Search in Google Scholar

7. Kumar A, Joshi H, P. S: Neural Network Approach for Automatic Landuse Classification of Satellite Images: One- Against-Rest and Multi-Class Classifiers. International Journal of Computer Applications, pp.134, 2016.10.5120/ijca2016908148Search in Google Scholar

8. Raza M Q, Khosravi A: A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings. Renewable & Sustainable Energy Reviews, Vol. 50, pp.1352-1372, 2015.Search in Google Scholar

9. Ahmedalazzawi N: Automatic Recognition System of Infant Cry based on F-Transform. International Journal of Computer Applications, Vol. 102, no. 12, pp.28-32, 2014.10.5120/17869-8800Search in Google Scholar

10. Druitt C M, Alici G: Intelligent Control of Electroactive Polymer Actuators Based on Fuzzy and Neurofuzzy Methodologies. Mechatronics IEEE/ASME Transactions on, Vol. 19, no. 6, pp.1951-1962, 2014.Search in Google Scholar

11. Francesquini E, Castro M, Penna P H: On the energy efficiency and performance of irregular application executions on multicore, NUMA and manycore platforms. Journal of Parallel & Distributed Computing, Vol. 76, pp.32-48, 2015.10.1016/j.jpdc.2014.11.002Search in Google Scholar

12. Li Y, Tang X, Cai W: Play Request Dispatching for Efficient Virtual Machine Usage in Cloud Gaming. IEEE Transactions on Circuits & Systems for Video Technology, pp. 1-11, 2015.10.1109/TCSVT.2015.2450152Search in Google Scholar

eISSN:
2083-7429
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Engineering, Introductions and Overviews, other, Geosciences, Atmospheric Science and Climatology, Life Sciences