[PDF] Top 20 The effect of adaptive parameters on the performance of back propagation
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The effect of adaptive parameters on the performance of back propagation
... The concept of ANN approach began in 1943 when McCulloch and Pits introduced the first mathematical model of a biological neuron (McCulloch & Pitts, 1943). At that time, the significance of this model was its ability ... See full document
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Effect of Propagation Signal and Path on Verification Performance Using Intra-Body Propagation Signals
... In the verification stage, an applicant who seeks the permission for using the system presents the name or the ID number of a user. From the applicant, an intra-body propagation signal is measured and smoothed, ... See full document
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The Effect of Adaptive Gain and Adaptive Momentum in Improving Training Time of Gradient Descent Back Propagation Algorithm on Classification Problems
... The back propagation algorithm has been successfully applied to wide range of practical ...the back propagation algorithm depends on the choice of initial weights and biases, network topology, ... See full document
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An Improved Back-Propagation Neural Network for the Prediction of College Students’ English Performance
... tion effect of the model on the college students’ English performance was good; the prediction values can represent the distribution characteristics of the students' English scores; for some students, the ... See full document
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Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm
... training effect of CSAPSO-BP ANN model is good, and the predicted value and actual value of the model are relatively ...better performance of the model by reseting the ... See full document
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The Effect of Pre-Processing Techniques and Optimal Parameters selection on Back Propagation Neural Networks
... with Back-Propagation (BP) was the most popular and been worked on by various ...the performance analysis based on BP training algorithms; gradient descent and gradient descent with momentum, both ... See full document
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The effect of adaptive gain and adaptive momentum in improving training time of Gradient Descent back propagation algorithm on classification problems
... The back propagation algorithm has been successfully applied to wide range of practical ...the back propagation algorithm depends on the choice of initial weights and biases, network topology, ... See full document
7
The Effect of Varying Parameters on Performance for Adaptive Agents in Technical Equity Market Trading
... Comparison between experiments A-F-G aimed to determine whether changing the number of generations used in retraining affected performance with a constant number of trading days. Comparison between A-D-E assessed ... See full document
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Improving the Accuracy of Fuzzy Decision Tree by Direct Back Propagation with Adaptive Learning Rate and Momentum Factor for User Localization
... its performance depends on the primary fuzzy clustering of the input ...two parameters that affect performance are alpha-cut standard parameter and leaf selection ...these parameters are ... See full document
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A Review - Status of Recent Developments & Effect of Machining Parameters on Performance Parameters in EDM
... robust adaptive optimization ...Long back used a multi objective optimization method, non-dominating sorting genetic algorithm-II to maximize the result of the ...EDM parameters to imitate a ... See full document
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Antenna and Propagation Parameters Modeling Live Networks
... to back ratio (FBR). For electrical tilt, the vertical back lobe is modeled as pointing with the same down-tilt angle as the front lobe in the direction of the center of the co-sited ... See full document
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Power Load Forecasting using Back Propagation Algorithm
... and adaptive nature of ANN has forced this model to offer a new parallely processed, more robust and user-friendly paradigm as compared with the other traditional ...connected adaptive processing elements ... See full document
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Diagnosis of thyroid disorders using Back propagation method
... S.RAJAKARUNAKARAN [4] developed the fault detection model by using two different artificial neural network methods, namely feed-forward neural network with back propagation algorithm and binary ... See full document
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Effect of Mix Parameters Performance and Design of Cold Mix
... This project describes laboratory experiments and presents results for the performances of cold-mix, cold-lay emulsion mixtures. The main objective of the experiments was to evaluate and improve the properties of the ... See full document
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Title: OCR-ANN Back-Propagation Based Classifier
... Abstract— Optical Character Recognition by using Neural Network is a prototype system that is useful to recognize the character. pre-processing for document is the preliminary step for the recognition to be accurate, ... See full document
7
Effect of Specific Heat Parameters on Performance of SI Engine
... the effect of varying engine parameters, conditions, fluid properties, ...the performance of air standard power cycles using constant- and variable-specific heats ...the effect of various ... See full document
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Effect of some operating parameters on the performance of a pelleting press
... This study provides useful information for engineers to improve the performance of the vertical shaft pelleting machines. The machine does not make use of steam thereby making it very easy to operate; however, a ... See full document
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Ann Back Propagation For Forecasting And Simulation Hydroclimatology Data
... Abstract: Government policies in distributing fertilizers and seeds of food crops such as rice and crops depend on the growing season of the farmers. Therefore, before conducting the distribution, it is necessary to ... See full document
5
Propagation of measurement uncertainty for surface texture parameters
... surface parameters from ISO ...the propagation of measurement uncertainty through each parameter, something which has not been thoroughly addressed in this ...texture parameters from nano-scale ... See full document
7
The effect of uncertainty in earthquake fault parameters on the maximum wave height from a tsunami propagation model
... earthquake parameters in fu- ture PTHAs is still to model all reasonably possible earth- quake ...tsunami propagation mod- els for warnings, rather than relying on limited catalogues of possible future ... See full document
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