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Title: neural network application in power electronics
Page Link: neural network application in power electronics -
Posted By: shashimandya
Created at: Wednesday 09th of December 2009 10:29:39 PM
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Title: a framework for personal mobile commerce pattern mining and prediction ppt
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Created at: Thursday 31st of January 2013 03:16:22 PM
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Title: a framework for personal mobile commerce pattern mining and prediction ppt
Page Link: a framework for personal mobile commerce pattern mining and prediction ppt -
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Created at: Tuesday 22nd of January 2013 10:04:12 PM
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Title: a framework for personal mobile commerce pattern mining and prediction doc
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Created at: Saturday 24th of November 2012 01:53:53 PM
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Title: The Application of Back Propagation Neural Network of Multi-channel Piezoelectric
Page Link: The Application of Back Propagation Neural Network of Multi-channel Piezoelectric -
Posted By: project uploader
Created at: Saturday 09th of June 2012 08:02:30 PM
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The Application of Back Propagation Neural Network of Multi-channel Piezoelectric Quartz Crystal Sensor for Mixed Organic Vapours

Abstract
A multi-channel piezoelectric quartz crystal sensor with a
homemade computer interface was prepared and employed in the
present study to detect mixture of organic molecules. Back
propagation neural network (BPN) was used to distinguish the
species in the mixture organic molecules and multivariate linear
regression analysis (MLR) was used to compute the concentration
of ....etc

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Title: Application of Neural Networks in Wind Power Generation Prediction
Page Link: Application of Neural Networks in Wind Power Generation Prediction -
Posted By: seminar class
Created at: Wednesday 04th of May 2011 06:36:43 PM
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Abstract
Wind power generation increases rapidly. The availablewind energy depends on the wind speed, which is a randomvariable. For the wind-farm operator, this poses difficulty in thesystem scheduling and energy dispatching, as the schedule of thewind-power availability is not known in advance. In this paper,we propose an intelligent technique for forecasting wind speed ofwind turbine. This technique is based on artificial neuralnetwork (ANN). The Back propagation (BP) neural network isthen supplied with the data to establish the rel ....etc

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Title: Application of Artificial Neural Network ANN technique for the measurement of vo
Page Link: Application of Artificial Neural Network ANN technique for the measurement of vo -
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Created at: Tuesday 06th of March 2012 04:25:41 PM
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Title: abstract for Application of Artificial Neural Network ANN technique for the meas
Page Link: abstract for Application of Artificial Neural Network ANN technique for the meas -
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Created at: Tuesday 06th of March 2012 04:17:49 PM
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Title: Neural Networks For Location Prediction In Mobile Networks
Page Link: Neural Networks For Location Prediction In Mobile Networks -
Posted By: seminar class
Created at: Friday 22nd of April 2011 01:33:36 PM
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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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Title: Pre-Term Birth Prediction using Neural Network
Page Link: Pre-Term Birth Prediction using Neural Network -
Posted By: project topics
Created at: Thursday 04th of August 2011 06:14:05 PM
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Pre-Term Birth Prediction using Neural Network

This project has three contributions: 1) to evaluate how changing the a priori distribution of the training set affects the performance of a back-propagation feed-forward Artificial Neural Network (ANN) in predicting PreTerm Birth (PTB) for obstetrical patients, 2) to assess the effectiveness of the weight elimination cost function in improving the ANN's classification of PTB and in identifying a new minimal dataset, and (3) to determine if PTB can be predicted outside of clinical trial s ....etc

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