three-layer back-propagation network
Pavement Condition Forecasting Through Artificial Neural Network Modelling
... of back propagation three layer artificial neural network model for pavement condition forecasting modelling is designed as shown in figure ...the network output by propagating ...
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Designing and optimizing a back propagation neural network to model a thin-layer drying process
... temperature three velocity values were tested: ...repeated three times and the average of the moisture ratio at each time point was used for drawing the drying ...
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Moisture Prediction in Maize Using Three Term Back Propagation Neural Network
... Neural Network (ANN) is a model of thinking centered on the edifice of the human ...are three layers in a neural network; Input layer, Hidden layer and Output layer as shown in ...
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A Survey on Rainfall Prediction using Artificial Neural Network
... with back propagation for supervised learning using the data recorded at a particular ...Neural Network model to predict the average summer-monsoon rainfall in ...model, three-layer ...
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Comparison of MLP NN Approach with PCA and ICA for Extraction of Hidden Regulatory Signals in Biological Networks
... of three components in seven Hb solutions, encoding the connectivity strength between the regulatory layer and the output signals, and the rows of [ε] are the spectra of pure ...solution network is ...
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Hybrid Prediction Models For Stock Market
... work, three types of times series prediction models are discussing in share trading ...neural network (ANNs) suggests that ANNs can be promising alternative to the traditional linear methods like ARIMA ...
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Classification Using Two Layer Neural Network Back Propagation Algorithm
... images. Three steps in classification are preprocessing, Mining and Organization and reported an accuracy of ...forward back propagation algorithm to detect and classify breast ...
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Weather Forecasting Models Using Neural Networks and Adaptive Neuro Fuzzy Inference for Two Case Studies at Huoston, Texas and Dallas States
... a three layer feed-forward neural network for daily precipitation prediction in the meteorological stations of Burdur, Egirdir, and Isparta cities in ...neural network-fuzzy logic-wavelet ...
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Three-dimensional convolutional restricted Boltzmann machine for human behavior recognition from RGB-D video
... The three-dimensional convolutional restricted Boltzmann machine (3DCRBM) is proposed which can extract features from the raw RGB-D ...belief network (DBN) is established by a layer of 3DCRBM ...
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Assamese Digit Recognition with Feed Forward Neural Network
... neural network based Gujarati handwritten numeral recognition is proposed by Apurva ...forward back propagation neural network of three layers with 94, 50, and 10 neurons is used for ...
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Prediction of Methane Fraction in Biogas from Landfill Bioreactors by Neural Network Modeling
... A three-layer back propagation neural network was optimized to predict the CH4 production from landfill ...the back propagation neural network giving the smallest ...
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Bandwidth Analysis by Introducing Slots in Microstrip Antenna Design Using ANN
... The network has been trained for different coordinate values of both the slots, but in a specified ...neural network automatically adjusts its weights and threshold values such that the error z between ...
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Intelligent Search for Distributed Information Sources Using Heterogeneous Neural Networks
... neural network clustering algorithm employing the Kohonen Self-Organization Feature Map (SOFM) to partition the Internet infor- mation sources into distinct subject categories according to their ...
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The Effect of Process Parameters on Penetration in Shielded Metal Arc Welding under Magnetic Field using Artificial Neural Networks
... In this study, the effects of various welding parameters on penetration in mild steel having 5 mm thickness welded by shielded metal arc welding were investigated. The welding current, arc voltage and welding speed were ...
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KNOWLEDGE-BASED NEURAL NETWORK FOR LINE FLOW CONTINGENCY SELECTION AND RANKING
... Corresponding to five classes of MW PI, five neurons were used in the output layer of the MLP model. The output of the corresponding node was 1 if the PI belongs to that class, otherwise it was 0. If a problem ...
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An Efficient Food Image Classification By Inception-V3 Based Cnns
... The present generation people are very conscious for their food in order to recover from diseases or to avoid the upcoming diseases. Technologies has evolved so much that the people required automatic labelling food ...
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Prediction of Liver Disease using Rprop, SAG and CNN
... Resilient Back propagation Neural Network algorithm because of its single hidden layer gives more accuracy than stochastic average gradient for text based ...
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Handwritten Character Recognition Using Competitive Neural Trees
... Abstract—Neural network classifier methods and decision trees are widely used in various pattern recognition research ...styles. Three main steps such as preprocessing, shape feature descriptors extraction ...
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Australian Journal of Basic and Applied Sciences
... China. Three various algorithms were used for creating the models, they were SVR, and M5 model tree and multivariate adaptive regression spline These 50 predictors were designed through training by splitting data ...
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Knowledge-based Neural Network for Line Flow Contingency Selection and Ranking
... the network are incrementally adjusted so as to improve a predefined performance measure over ...the network should be able to give correct output for any kind of ...
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