data mining medical information should artificial neural networks be used to analyse trauma audit data
Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks
Ngày tải lên :
22/03/2013, 15:01
... function, but increases the training time To improve training, preprocessing of the data to values between and was carried out before presenting the patterns to the neural network The following normalization ... it is possible to realize complex mapping In order to verify the applicability of MANN model, a total of 46 data of the consolidation test results are used 43 learning data are used for training ... lot of database on the high strain rate To eliminate this effect should be collected database 0.8 0.4 0 0.4 0.8 1.2 Measured Value 1.6 2 1.8 Preconsolidation Pressure Ratio Fig Comparison between...
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ARTIFICIAL NEURAL NETWORKS – ARCHITECTURES AND APPLICATIONS doc
Ngày tải lên :
15/03/2014, 23:20
... the state toward the shaded region [25] 34 Artificial Neural Networks – Architectures and Applications 10 Artificial Neural Networks sub-threshold oscillations no (integrator) yes (resonator) co-existence ... Preface Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications in various areas An artificial ... artificial neural network is a powerful, versatile tool Artificial neural networks have been successfully used in various applications such as biological, medical, industrial, control engendering, software...
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Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf
Ngày tải lên :
29/03/2014, 21:20
... Pollution Artificial neural networks – several types for different purposes Artificial neural networks can be divided into several groups according to their topology The tool was firstly widely used ... determination Feature determination should be done in order to properly define the modelled domain (independent variables), to enable all important information to be captured, to simplify MPNN and therefore ... feature is the number of the cluster that the pattern belongs to The quantity of clusters should be determined by the user The natural number of clusters (the number of clusters that best fits the...
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vehicle signal analysis using artificial neural networks
Ngày tải lên :
28/04/2014, 10:02
... theory, the accuracy can be compromised due to dynamic behaviors or dynamic interactions between the bridges and vehicles To solve this problem, a number of researches have been performed on measured ... acquired data set was appropriate for training and testing the ANN since the data set contains of vehicles with various numbers of axles (from to axles) and total weights (from 100 to 400 kN), ... Seohae Bridge 2.2 Installation of Data Acquisition System The sensors used to develop the B-WIM system are all strain gauge, and the sensors can be categorized into weight-measuring sensors and...
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a new type of structured artificial neural networks
Ngày tải lên :
28/04/2014, 10:06
... can be used to design algorithms that add or organize MMC data SCA is an example SCA does not add data but it creates new information about data and organizes it into structure As such, it should ... represents a data channel where data carried by the variables flows from its source, the initializing services, to its destinations, the services that use the data The sum of all scopes happens to be equal ... row i is reassigned to row k, and can be calculated based on the expression: ∆i,i+1 (C) = qi + pi − qi+1 (7) Let ni be the number of terminal A’s in row i, mj be the number of terminal A’s in...
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audio to visual speech synthesis using artificial neural networks
Ngày tải lên :
28/04/2014, 10:06
... the auditory speech There are several labeled databases of auditory speech but no readily available labeled databases of visual speech Given the lack of databases for visible speech, investigators ... parameters Neural networks have been shown to be efficient and robust learning machines which solve an input-output mapping and have been used in the past to perform similar mappings from acoustics to ... values are low because of the paucity of training data and the restricted number of hidden units (100) CONCLUSIONS In a typical application, natural auditory speech can be used to generate an...
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báo cáo hóa học: " Error mapping controller: a closed loop neuroprosthesis controlled by artificial neural networks" doc
Ngày tải lên :
19/06/2014, 10:20
... It has already been established that adding noise to the training data in artificial neural learning improves the quality of learning, as measured by the trained networks ability to maximize exploration ... neuro-musculo-skeletal model of the system to be controlled Unfortunately, the large quantity of parameters required for the identification of the system to be controlled was difficult to be experimentally determined ... ranged between 20% and 30% of the maximal total torque of the knee: the spasm model was analogous to [17] An additional test on the effect of a distributed noise on the knee torque was designed to...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 1 pdf
Ngày tải lên :
20/06/2014, 00:20
... fibers as the outputs The data from the experiments were used as learning information for the neural network to establish a reliable prediction model that can be applied to new projects The neural ... order to present the fuzzy and stochastic nature of the garment and body sizes, it should be modeled as fuzzy vector or stochastic vector In addition, it is valuable to incorporate NN-ICEA into ... feedforward and Kohonen networks The other types of artificial neural networks such as recurrent neural network, associative neural network and dynamic neural networks (refer to http://en.wikipedia.org/wiki/Types_of _artificial_ neural_ networks...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 2 doc
Ngày tải lên :
20/06/2014, 00:20
... years, neural networks have been used to inspect yarn, fabric and cloth defects and to identify their types (Kuo, 2003) Neural networks are among the best classifier used for fault detection due to ... addition to being difficult to perform, are almost always destructive in nature Leonard et al., 1998 had used Near-infrared (NIR) spectroscopy as input data to a neural network to identify fibers ... order to present the fuzzy and stochastic nature of the garment and body sizes, it should be modeled as fuzzy vector or stochastic vector In addition, it is valuable to incorporate NNICEA into garment...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 3 doc
Ngày tải lên :
20/06/2014, 00:20
... have been compared statistically An attempt has also been made to study the effect of number of hidden layer in neural network model The highest correlation has been found in artificial neural ... Fabrics-Experimental Data Modeling using Classical Models and Neural Networks Chemical Engineering Science, Vol.55, pp 2767-2778, ISSN 0009-2509 Chattopadhyay, R & Guha, A (2004) Artificial Neural Networks: ... coefficient of variation (%CV), gamma factor (γ), performance factor (PF/4), and etc in order to analyze the results Since neural networks are known to be good at solving classification problems,...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 4 pot
Ngày tải lên :
20/06/2014, 00:20
... weights to be fitted The number of neurons and the number of hidden layers cannot be increased without limit because one may reach a situation where the number of the connections to be fitted ... must be careful not to place overly trust in the network response, as it may not produce a reliable result for inputs too far beyond 2.1 Neural network training algorithms Artificial neural networks ... spectra may be acquired to clarify the material identity If it is confirmed by several measurements that the sample is unknown to the network, it can be added to the Artificial Neural Networks for...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 5 pdf
Ngày tải lên :
20/06/2014, 00:20
... the ANN has been controlled with early stopping In which part of the training data is used to train the network and other part is used to control the complexity of the model Early stopping is ... parameters 146 Artificial Neural Networks - Industrial and Control Engineering Applications According to the BP neural network model, the number of hidden neurons is initially chosen as 6, so the neural ... The Principle and Application of Artificial Neural Networks, Science Press, ISBN 7-03-016570-5, Beijing (in Chinese) Application of Bayesian Neural Networks to Predict Strength and Grain Size...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 6 potx
Ngày tải lên :
20/06/2014, 00:20
... the term “neuro-fuzzy” refers to combinations of artificial neural networks and fuzzy logic Fuzzy modeling and neural networks have been recognized as powerful tools that can facilitate the effective ... is used to investigate the relationships between variables Usually, the investigator seeks to ascertain the causal effect of one variable upon another To explore such issues, the investigator ... of Indian coals from proximate and ultimate analyses using artificial neural networks, Fuel, Volume 89, Issue 5, 1101-1109 182 Artificial Neural Networks - Industrial and Control Engineering...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 7 pptx
Ngày tải lên :
20/06/2014, 00:20
... according to new data. , and it is possible to add new observations at any time Unlike ANN, when new observations are added to the data set in PCR, principal components have to be calculated before ... required to be monitored and controlled simultaneously, and it is quite difficult to derive classical structured models, on account of practical Application of Artificial Neural Networks to Food ... contains a number of neurons The number of neurons in the input layer equals the number on inputs to the neural network while the number of neurons in the output layer equals the number outputs...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 8 pptx
Ngày tải lên :
20/06/2014, 00:20
... more training data [21] Be inclusive of needing to pay attention to the attending training neural network data, also consider after the neural network finished, needing other test data to chow test ... level to output level is middle line of data in Fig.8 The weight of input level to conceals between the level as shown in Table Fig Actual structure of neural network 254 Artificial Neural Networks ... 0260-8774 Zou, J., Han, Y & So, S.-S (2008) Overview of artificial neural networks In: Artificial neural networks : methods and applications Livingstone, D (Ed.), 15-23, Humana Press, ISBN: 978-1-58829-718-1,...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 9 pptx
Ngày tải lên :
20/06/2014, 00:20
... and output vectors is used to scale them in the range of -1 and +1 Next step is to divide the input data and target data up into training In this case 14 samples (60%) of data are used for the ... four numbers of generator located at buses 14 to 17 This realization is adopted for simplicity and to reduce the training time of the neural networks 288 Artificial Neural Networks - Industrial ... Training Neural networks are sensitive to the number of neurons in their hidden layer Too few neurons in the hidden layer prevent it from correctly mapping inputs to outputs, while too many may...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 10 doc
Ngày tải lên :
20/06/2014, 00:20
... competing against each other The Applications of Artificial Neural Networks to Engines 331 Artificial neural networks can be a powerful tool for monitoring of engine operation or the design of controller ... network to some given training patterns The task will be to modify the network parameters to reduce the index over the complete trajectory to achieve the minimal value Data collection Data collection ... normalized speed and torque characteristics – used for generation of Data set I [Dieselnet, 2009] 314 Artificial Neural Networks - Industrial and Control Engineering Applications The data used in this...
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