[PDF] Top 20 Estudio sobre el desempeño laboral de los arquitectos de la ciudad de Latacunga, provincia de Cotopaxi.
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Predictive Data Mining with Normalized Adaptive Training Method for Neural Networks
... proposed normalized adaptive algorithm in 209 epochs, but first order methods and other adaptive methods couldn‟t converge toward set target even in 1000 ...simple adaptive techniques like GDA ... See full document
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To What Extent do Predictive, Descriptive and Prescriptive Supply Chain Analytics Affect Organizational Performance?
... in Predictive analytics (Hahn & Packowski, 2015). Data mining methods such as cluster analysis (k-means, self- organizing maps, ...sequence mining, etc.), neural networks, ... See full document
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... methodology. Neural networks share the advantages with the many other data mining ...analyze data. Regression analysis, is that they can fit data where the relation between ... See full document
6
Comparative Analysis of Various Data Mining Techniques on Educational Datasets
... the training of the network is ...like neural network and decision tree which is shown in ...of neural networks such as adaptive learning ability, self-organization, real time operation ... See full document
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A data mining framework to model consumer indebtedness with psychological factors
... Economic Data, within a complete Data Mining ...the data to reduce dimensionality and remove the noisy data as well as to extract and verify the Psychological Factors of the ...three ... See full document
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... the neural network refers to a network of biological ...Artificial neural network (ANN) is the mimicking of the human neuron on a ...Artificial neural networks are efficient means of ... See full document
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Recent trends in neuromorphic engineering
... spiking neural networks on 180nm CMOS ...spiking neural network simulator with memris- tors for computer vision ...various neural network topologies has been developed by Liu et ... See full document
9
Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques
... Based on obtained results, the ANFIS model with the Gaussian membership functions has a suitable capability to estimate the Punching shear load. The ANFIS model also provides better performance than the ANN and GRNN ... See full document
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PyOD: A Python Toolbox for Scalable Outlier Detection
... Sridhar Ramaswamy, Rajeev Rastogi, and Kyuseok Shim. Efficient algorithms for mining outliers from large data sets. In ACM SIGMOD Record, volume 29, pages 427–438, 2000. Mayu Sakurada and Takehisa Yairi. ... See full document
11
Sentiment Classification Via Recurrent Convolutional Neural Networks
... convolutional neural network for text classification that works independently of and without human-designed ...proposed method outperforms current state-of-the- art ... See full document
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Performance Analysis of K-Mean Clustering on Normalized and Un-Normalized Information in Data Mining
... ABSTRACT: Data mining is used for extract the useful information and Clustering is the concept used to groups which can be creating by identifying similar kind of data and this can done by identify ... See full document
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Artificial Neural Network Based Induction Motor Speed Controller
... ' Adaptive Tracking Controller for Induction Motor Drives using Online Training of Neural Networks ' used the indirect model reference adaptive control system to model the neural ... See full document
15
Combining residual networks with LSTMs for lipreading
... Finally, data augmentation is performed during training, by applying random cropping (±5 pixels) and horizontal flips, that are com- mon across all frames of a given ... See full document
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Combining residual networks with LSTMs for lipreading
... The first set of layers applies spatiotemporal convolution to the preprocessed frame stream. Spatiotemporal convolutional lay- ers are capable of capturing the short-term dynamics of the mouth region and are proven to be ... See full document
14
A Comparison of Supervised Learning Algorithms for the Income Classification
... population data are needed for every country for purposes of planning, development, and ...Census data can provide the basic population data of any ...and data mining tasks in order to ... See full document
27
Neuro PID Speed Controller for Permanent Magnet Synchronous Motor
... using neural networks. First a neural network was trained with an appropriate training data ...the neural controller obtained as applied in place of the speed PID ... See full document
11
Role of Neural Network in Data mining
... Database is a collection of interrelated data .The first database system were implemented in the 1960’s and 1970’s.Many enterprises therefore have more than 30 years of experience in using database system and they ... See full document
8
Title: Evolving Neural Network for Kernel Principal Component Analysis
... on-line data compression have ...the neural network, but also its architecture directly in the learning ...Oja’s networks based on modification of Oja’s neurons that showed themselves well in solving ... See full document
12
Neural Networks in Data Mining
... Artificial Neural Network is an intelligent system which comprises of different components exhibit the human intelligence in the ...artificial neural network ...the data mining. Artificial ... See full document
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A Survey on Multimedia Data Mining Using Deep Learning
... Multimedia data is present on the Internet or web, Multimedia data mining is one of best for ...Multimedia mining is a form of data mining. In Data mining various ... See full document
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