Neural Network estimation with a different input
ESTIMATION OF INPUT IMPEDANCE OF MICROSTRIP PATCH ANTENNA USING FUZZY NEURAL NETWORK
... of input impedance with respect to feed position coordinate (X f ) for MLPFFBP ANN with Levenberg – Marquardt (LM) as a training algorithm As mentioned earlier the RBF network is also considered in this ...
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Quantum Inspired Neural Network with Sequence Input
... of input information, QNNSI and ANN take different ...the input is circularly mapped to the output of quantum controlled-not gates in hidden ...each input sample can be described as a matrix ...
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Input Window Size and Neural Network Predictors
... and network traffic ...feed-forward neural network predictors be optimised using theoretically motivated heuristics? We report experiments using two data sets: the sequence obtained from one of the ...
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Forecasting of rainfall using different input selection methods on climate signals for neural network inputs
... artificial neural networks is ...self-organized neural network (SOM) along with the application of winGamma software were comparatively used as input selection methods to choose the ...
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Modeling Input Uncertainty in Neural Network Dependency Parsing
... the different normalization settings with the use of character level information and external ...a different seed for the BiL- STM and the shuffling of the training ...
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Architecture of the Extended-Input Binary Neural Network and Applications
... present neural network is confined to the process of finding the proper direct connection between one output neuron of the input module which represents a specific input pattern to one ...
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Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms
... Kocić, Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms, Flow Measurement and Instrumentation, ...
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Test Effort Estimation Using Neural Network
... calness of the code. Different weightage factors are given a value each. Variables component: As the number of inputs in- creases the number of test cases also increases. Different measures are given for ...
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Estimation of Reference Evapotranspiration by Artificial Neural Network
... Artificial Neural Networks An ANN consists of input, hidden, and output layers and each layer includes an array of processing ...typical neural network is fully connected, which means that ...
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Estimation of pH and MLSS using Neural Network
... feed-forward neural network (FFNN) modeling applied to the domestic plant of the Bunus regional sewage treatment ...forward neural network techniques as nonlinear function approximators have ...
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Neural Network Based Time Delay Estimation
... The fast processing speed of the NN is the main advantage of using NN for estimation of time delay. Time-delay estimates obtained through classical techniques rely on obtaining the cross correlation between the ...
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Automated Marble Plate Classification System Based On Different Neural Network Input Training Sets and PLC Implementation
... on different neural network input training sets is proposed, aiming at high classification accuracy using simple processing and application of only standard ...MLP neural network ...
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Software Reliability Prediction using Neural Network with Encoded Input
... many neural network based software reliability prediction models exist and their prediction capability is proven better than some statistical models ...the neural network based software ...
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Recurrent Neural Network based Translation Quality Estimation
... Existing QE researches have been usually fo- cused on finding desirable QE related features to use machine learning algorithms. Recently, however, there have been efforts to apply neu- ral networks to QE and these ...
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Translation Quality Estimation using Recurrent Neural Network
... The input of the model is con- structed by concatenating context words of source and ...the input to the network will be s 1 s 2 s 3 t 1 t 2 t 3 ...
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A Deep Neural Network for Finger Counting and Numerosity Estimation
... artificial neural network capable of generating finger counting positions and number ...The network is extended to produce finger counting ...number estimation of such an extended model is ...
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Artificial Neural Network and Efficiency Estimation in Rice Yield
... “Artificial neural networks” (ANNs) is used. Cheng and Titterington (1994) have reviewed the ANN methodology from a statistical perspective, while Warner and Misra (1996) have laid emphasis on the understanding of ...
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Artificial Neural Network Models For Software Effort Estimation
... in estimation performance can cause more frequent and larger project cost overruns during software ...proper estimation technique can have a significant im- pact on the ...effort estimation which is ...
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A Neural Network Approach To Real Time Rainfall Estimation
... Rainfall Estimation Temperature, Pressure, Wind Speed and Humidity are the crucial input parameters to rainfall prediction models, statistical characterization of extreme rainfall frequency and validation ...
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Neural Network based Software Effort Estimation: A Survey
... V. C ONCLUSION In this paper, currently used Artificial Neural Network based Effort Estimation techniques are presented and evaluated. Latest work on all the techniques is presented with their ...
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