2017
DOI: 10.22266/ijies2017.0831.29
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Extending the Neural Model to Study the Impact of Effective Area of Optical Fiber on Laser Intensity

Abstract: Abstract:Our previous article has proposed a simulation model to explore the nonlinear relationship between the nonlinear regime of the fiber, laser intensity and the error probability of the optical link. This paper extends the model to include the effective area of the fiber. In order to handle the extended parameter, time series feed forward neural network based prediction model is proposed. The reliability of the model is substantiated by extensive experimental analysis through which the relationship exhib… Show more

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Cited by 14 publications
(4 citation statements)
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“…Later in 2018, Darekar and Dhande [ 19 ] have introduced a system based on artificial neural networks, the first extract NMF analysis, Pitch Analysis, and Cepstrum features; then, they reduce their dimensionality applying PCA to their feature vectors. They then feed their features to an artificial neural network introduced by Bhatnagar and Gupta 2017 [ 20 ], called NARX Double Layer, which is an ANN with two hidden layers. To train their network, they have adopted a PSO Feedforward algorithm, which helps to reach optimal weights faster than gradient descent.…”
Section: Emotion Recognition Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Later in 2018, Darekar and Dhande [ 19 ] have introduced a system based on artificial neural networks, the first extract NMF analysis, Pitch Analysis, and Cepstrum features; then, they reduce their dimensionality applying PCA to their feature vectors. They then feed their features to an artificial neural network introduced by Bhatnagar and Gupta 2017 [ 20 ], called NARX Double Layer, which is an ANN with two hidden layers. To train their network, they have adopted a PSO Feedforward algorithm, which helps to reach optimal weights faster than gradient descent.…”
Section: Emotion Recognition Methodsmentioning
confidence: 99%
“…However, lately, by the development of deep learning tools and processes, solutions for SER can be changed as well. There is a lot of effort and research on employing these algorithms to recognize emotions from the speech [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ]. In addition to deep learning, more recently, along with improvements in recurrent neural networks and the use of long short-term memory (LSTM) networks, autoencoders, and generative adversarial models, there has been a wave of studies on SER using these techniques [ 28 , 29 , 30 , 31 , 32 , 33 ] to solve the problem.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, the application of a static synchronous compensator (STATCOM) 29 was investigated for providing uninterrupted wind turbine operation. 3032 Further, a series grid-side converter has been proposed. 33 These methods are promising in some cases, but the complexity and cost are increased.…”
Section: Introductionmentioning
confidence: 99%
“…Further, there is a possibility of the data being attacked by hackers if the hash values are guessed or known by them. But overall, there are many strategies for de-duplicating files, but still it is in need for an enhanced de-duplicating method with storage optimization [41][42][43]54].…”
Section: Introductionmentioning
confidence: 99%