artificial neural network data processing
Precision spray modeling using image processing and artificial neural network
... the network and the transfer functions of ‘tansig’ and ‘purelin’ were chosen for hidden and output layers, ...All data sets were divided into three groups, randomly: 70% for training the networks, 15% for ...
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Identification Of Weeds From Crops Using Convolutional Neural Network
... unstructured data usually could take a long duration for us to analyse it and mine relevant information which will be used for the analysis of the ...of data and extract the unique patterns the most common ...
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Analysing the Quality of Phaseolus Vulgaris Family of Legumes using Artificial Neural Network and “Bag of Features” Techniques
... Image processing through computer technology defines as the process of applying methods to run machines in an automatic inspection using an imaging-based, process control and robot monitoring systems in industrial ...
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A Hybrid Approach for Breast Cancer Classification and Diagnosis
... treatments. Data Analytics and machine learning methods provides framework for prognostic studies by errorless classification of data instances into relevant based on the cancer ...combining ...
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An Approach Based On Artificial Neural Network for Data Deduplication
... called data mining tools, effectively mine and provide an edifying and useful analysis ...of data mining ...analyzed data by recognizing the patterns or relationships in data ...recognizing ...
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Image Processing Based Analysis of the Compressive Strength for the Stones Used In Historical Masonry Structures
... image processing and artificial neural network has been ...Image processing steps were applied to the stone images transferred to the computer environment and arithmetic mean, standard ...
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Artificial Neural Network Based Data Mining
... Feedforward Neural Network: The simplest feedforward network consist of three layers as shown in figure 3 : an input layer, a hidden layer and an output ...this network consist of one or more ...
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Informative Feature Trained Classification System For Credit Card Fraud Detection
... Neural network based fraud detection methods are most ...of artificial neurons is contained in artificial neural ...of neural network. In neural network ...
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Artificial Neural network for Data mining –A study
... training data are ...input data moves away from the connection weights, the activation value ...input data close to a cluster centre gets a value close to ...
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... the neural network refers to a network of biological ...neurons. Artificial neural network (ANN) is the mimicking of the human neuron on a ...multilayer network made up of ...
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Transmission Of Data Between Devices Via Mobile Edge Processing In Wi- Fi Networks.
... wireless data networks recently, edge computing, as an extension of cloud computing, is proposed for offloading data services and applications to the Internet of Things ...the data to remote servers, ...
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Vol 5, No 1 (2013)
... A neural network (NN), in the case of artificial neurons called artificial neural network (ANN) or simulated neural network (SNN), is an interconnected group of ...
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Forecasting of monthly marine fish landings using artificial neural network
... wherein data is pre-processed. Since data pre-processing is considered to be capable of assisting a forecasting model in generating better results, the trend in differences between the RMSE and MAE ...
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ARTIFICIAL NEURAL NETWORK IN MEDICAL DATA CLASSIFICATION AND PREDICTION
... of Artificial Neural Network and Rough Sets have been increased in business and medical related ...Many Neural Net systems have been shown to work well in identifying intricate patterns, ...
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Classification of Robotic Data using Artificial Neural Network
... clarified Artificial neural systems as an apparatus for order of items is all around ...postpone neural system (TDNN) utilizing standard back spread calculation are equipped for ordering transient ...
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Text Recognition using Convolutional Neural Network: A Review
... using Artificial Neural Network and Nearest Neighbor ...every processing stage in detail and efforts taken to overcome the drawback of existing mobile device OCR applications and limitations ...
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Protection and Controlling of Transmission Lines by using Machine Learning Techinique
... The neural system way to deal with issue location may even be uncovering as an example acknowledgment detriment the ANN is prepared to recognize unadulterated snakelike flag as pointers of a standard framework ...
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Estimation of groundwater level using a hybrid genetic algorithm-neural network
... target data and output data derived from the weighting matrix is insignificant and consequently the value of the objective function is minimized ...of Artificial Neural Networks in Hydrology, ...
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Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... “artificial neural network with an error backward propagation algorithm” and an “artificial neural network with a genetic algo- rithm”, 61 firms in 7 financial years, from the ...
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ABSTRACT: Chaos and chaos control are new theories and new fields of nonlinear dynamics. Chaotic motion
... and neural network method, and puts forward some opinions on the possible difficulties in the future, and points out the application prospect and research direction of chaos ...
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