neural network approach
A Neural Network Approach to Selectional Preference Acquisition
... our neural network approach might be improved by incorporating information from other ...large-scale neural language model (Mikolov et ...our approach, compared to a model that shares ...
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An Artificial Neural Network Approach for Credit Risk Management
... of neural network ...the neural network models incorporat- ing the fundamental accounting variables can generate more accurate forecasts of future earnings than the mod- els assuming a linear ...
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A Neural Network Approach for Intrusion Detection Systems
... a neural network approach might be the right one to tackle these ...issues. Neural networks have already been applied successfully to solve many problems related to pattern recognition, data ...
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A Neural Network Approach for ECG Classification
... artificial neural networks (ANNs) can be regarded as an extension of many conventional or not, techniques ...[4]. Neural networks are adaptive machines which have „a natural propensity for storing ...
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Analysis of Tropospheric Ozone by Artificial Neural Network Approach in Beijing
... forecasting neural network model to understand relationship of the air quality in Beijing city on the behalf of encountered meteorological conditions in different season throughout the ...
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Neural Network Approach to Response of Buildings Due to Earthquake Excitation
... The present article investigates the physical phenomena associated with the wave passage effect into a building consid- ering the ground floor as the soft floor with the conformity of the up-to-date scenario of the ...
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An Artificial Neural Network Approach for Predicting Kinematics in Handball Throws
... this neural model were the lowest for all predicted kinematic parameters during the network training (70% training, 15% cross validation and ...between network output data and the original analysis ...
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Artificial Neural Network Approach for Estimation of Land Surface Temperature
... refers to the neuron in question, while the j index is associated to the synapse input signal related to weight. The weight aim is multiply the signal in the input synaptic connected to neuron. The ANNs may have ...
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Neural Network Approach For Making Foundry Industry Sustainable
... the neural network. Neural networks are good in identifying patterns or the data trends, and also best for the prediction and forecasting in the areas of Sales, Consumer research, marketing, ...
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A Neural Network Approach to Context Sensitive Generation of Conversational Responses
... Our work extends the Recurrent Neural Network Language Model (RLM) of (Mikolov et al., 2010), which uses continuous representations to estimate a probability function over natural language sentences. We ...
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A Neural Network Approach for Knowledge Driven Response Generation
... Arguments could be made against the performance gain of our architectures against human evaluation. Based on the reported low performance of purely LSTM-based models on very long-term dependant datasets (Sutskever et ...
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Dynamic Pricing in Ecommerce using Neural Network approach
... based approach to study price dynamics in an electronic retail ...Artificial Neural Network (ANN) for estimation of player price in ...artificial neural network in predicting service ...
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Implementation of Neural Network Approach for Short term Load forecasting
... Artificial neural network method is applied to the short term load forecasting of one-day ahead hourly electric loads in two different ...of network size with the same accuracy. The dynamic ...
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A global monthly climatology of total alkalinity: a neural network approach
... al. (2018) and Bittig et al. (2018) (LIARv2 and CANYON-B respectively) were also compared to the one proposed here. LIARv2 is based on multilinear regressions (MLRs) includ- ing the same predictors used in the present ...
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Towards a multipurpose neural network approach to novelty detection
... an approach has been recently proposed by Angiulli [5] to overcome this drawback, this is not capable of adaptive ...statistical approach proposed by Ahmed et ...This approach, the Kernel-based ...
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A Logistic Neural Network Approach to Extended Warranty Claims
... logistic neural network, two functions are ...logistic neural network, and the other is to use the logistic neural network, which are described ...logistic neural ...
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A Neural Network Approach to Predict the Density of Aqueous MEA Solution
... the neural network is trained, it must be assessed to check whether it is prepared for genuine ...a neural network, different data sets for validation must be kept aside from training data ...
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ARTIFICIAL NEURAL NETWORK APPROACH FOR HAND GESTURE RECOGNITION
... As the algorithm's name implies, the errors (and therefore the learning) propagate backwards from the output nodes to the inner nodes. So technically speaking, backpropagation is used to calculate the gradient of the ...
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Kinematic Synthesis of Parallel Manipulator via Neural Network Approach
... Artificial Neural Network (ANN) is a mathematical model of biological neural networks of the human ...“Neurons”, neural network processes information and makes ...
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Gender classification: a convolutional neural network approach
... Figures 10a and 10b show the trends of the training and testing errors for the SUMS and AT&T datasets, respectively. It is observed that in the initial stage of the epoch, training MSEs are higher compared to ...
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