Multilayer Perceptron

Ramchoun, Hassan; Idrissi, M. A. Janati; Ghanou, Youssef; Ettaouil, Mohamed

doi:10.1145/3090354.3090427

Cited by 71 publications

(7 citation statements)

References 5 publications

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“…For our activation function, we used the highly successful rectified linear unit function (ReLU), the most widely used activation function in deep learning (Hara et al 2015;Nwankpa et al 2018). For more detailed discussions of the Scikitlearn software and MLP neural networks, see Murtagh (1991), Pedregosa et al (2012), andRamchoun et al (2016).…”

Section: Machine-learning Analysismentioning

confidence: 99%

X-Ray Redshifts of Obscured Chandra Source Catalog Active Galactic Nuclei

Sicilian

Civano

Cappelluti

et al. 2022

ApJ

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We have computed obscured active galactic nuclei (AGN) redshifts using the XZ method, adopting a broad treatment in which we employed a wide-ranging data set and worked primarily at the XZ counts sensitivity threshold, culminating with a redshift catalog containing 121 sources that lack documented redshifts. We considered 363 obscured AGN from the Chandra Source Catalog Release 2.0, 59 of which were selected using multiwavelength criteria while 304 were X-ray selected. One third of the data set had crossmatched spectroscopic or photometric redshifts. These sources, dominated by low-z and low-N H AGN, were supplemented by 1000 simulations to form a data set for testing the XZ method. We used a multilayer perceptron neural network to examine and predict cases in which XZ fails to reproduce the known redshift, yielding a classifier that can identify and discard poor redshift estimates. This classifier demonstrated a statistically significant ∼3σ improvement over the existing XZ redshift information gain filter. We applied the machine-learning model to sources with no documented redshifts, resulting in the 121 source new redshift catalog, all of which were X-ray selected. Our neural network’s performance suggests that nearly 90% of these redshift estimates are consistent with hypothetical spectroscopic or photometric measurements, strengthening the notion that redshifts can be reliably estimated using only X-rays, which is valuable to current and future missions such as Athena. We have also identified a possible Compton-thick candidate that warrants further investigation.

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Section: Machine-learning Analysismentioning

confidence: 99%

X-Ray Redshifts of Obscured Chandra Source Catalog Active Galactic Nuclei

Sicilian

Civano

Cappelluti

et al. 2022

ApJ

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“…The input of every node in any hidden layer or the output layer is a weighted average of the nodes' outputs of the preceding layer plus a bias. The input is transformed through a nonlinear activation function in a new signal propagated forward up to the output layer [61]. The theoretical analysis of an MLP is not an easy task as the nonlinearity of the distributed processing and the high connectivity enlarge the optimization search space to numerous possible representations of the input patterns by the hidden nodes.…”

Section: -2-deep Multilayer Perceptronmentioning

confidence: 99%

Deep Learning in Predicting High School Grades: A Quantum Space of Representation

et al. 2022

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This paper applies deep learning to the prediction of Portuguese high school grades. A deep multilayer perceptron and a multiple linear regression implementation are undertaken. The objective is to demonstrate the adequacy of deep learning as a quantitative explanatory paradigm when compared with the classical econometrics approach. The results encompass point predictions, prediction intervals, variable gradients, and the impact of an increase in the class size on grades. Deep learning’s generalization error is lower in the student grade prediction, and its prediction intervals are more accurate. The deep multilayer perceptron gradient empirical distributions largely align with the regression coefficient estimates, indicating a satisfactory regression fit. Based on gradient discrepancies, a student’s mother being an employer does not seem to be a positive factor. A benign paradigm shift concerning the balance between home and career affairs for both genders should be reinforced. The deep multilayer perceptron broadens the spectrum of possibilities, providing a quantum solution hinged on a universal approximator. In the case of an academic achievement-critical factor such as class size, where the literature is neither unanimous on its importance nor its direction, the multilayer perceptron formed three distinct clusters per the individual gradient signals. Doi: 10.28991/ESJ-2022-SIED-012 Full Text: PDF

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“…Some side effects as headache and nausea, no violence tendency, perceived socialization with a score of 3, no alcoholism history, university or above university degree, a yes value of weight increase indicator, a score of 3. 33…”

Section: Perceived Relaxation Is Less For Alcohol Consumption With Lower Quantities Whereas Perceived Relaxation Is Higher For Alcohol Comentioning

confidence: 99%

Nitel ve Nicel Araştırma Tasarımı Uygulamasıyla Etanol Kullanımını ve Etkilerinin Anlaşılması

Yavuz¹

2022

European Journal of Science and Technology

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Human kind's interest on alcohol has been known for many decades. People used alcohol in different geographies. countries and cultures in parallel to the discovery and development of fermentation and distillation techniques. As seen in the analysis of many behavioural patterns it is believed to be several factors and antecedents that lead to engaging drinking alcohol and such behavior to occur. Today especially in 21st century alcohol usage became an important behavioral pattern in various contexts and settings and gained popularity in many social and cultural settings. With the help of transitions of the society and business landscape it found place in many organizational settings and landscapes in a more social and individualistic way. Interest of human to alcohol known for many decades and expected to remain. However different norms. traditions. values. approach of regulatory frameworks. environment. group influence have impact on alcohol consumption with several micro and macro level variables directly or indirecatly in a moderating nature. Despite its popularity in many generations. life styles and preferences excessive levels of alcohol consumption constitutes several hazarding risks and dangerous to human health. There are several studies associated with alcohol consumption and its benefits. dangers and risks associated with its short term. long term and excessive usage in literature. In this study some of the factors associated with alcohol consumption is investigated with the triangulation approach of qualitative and quantitative research methodologies composed of in depth interviews. observation and supervised and supervised forms of data ming with the aim of having an comprehensive understanding of the phenomena and highlighting the risks and dangers associated with long term. excessive usage.

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Multilayer Perceptron

Cited by 71 publications

References 5 publications

X-Ray Redshifts of Obscured Chandra Source Catalog Active Galactic Nuclei

X-Ray Redshifts of Obscured Chandra Source Catalog Active Galactic Nuclei

Deep Learning in Predicting High School Grades: A Quantum Space of Representation

Nitel ve Nicel Araştırma Tasarımı Uygulamasıyla Etanol Kullanımını ve Etkilerinin Anlaşılması

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