artificial neural network classification
Artificial Neural Network Classification for Gunshot Detection and Localization System
... [27]. Navrátil, M., Křesálek, V., &Dostálek, P. (2011, May).Neural network classification of gunshots using spectral characteristics. In Proceedings of the 13th WSEAS international conference on ...
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Detection and Classification of Leukaemia using Artificial Neural Network
... Once image is segmented, segmented output image is used for feature extraction. Features of segmented image are extracted and used for classification. There are various types of features those can be extracted. ...
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ARTIFICIAL NEURAL NETWORK IN MEDICAL DATA CLASSIFICATION AND PREDICTION
... article Artificial Neural Networks for predicting dorsal pressure on the foot surface while walking[1] suggested getting the pressure rate the bottom of foot ...
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Classification of Robotic Data using Artificial Neural Network
... Validation checks decide number of approval disappointments that happened amid every age. When this number achieves 6 for a specific age, preparing is halted. Execution plot demonstrating the mean square mistake toward ...
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PREDICTION AND CLASSIFICATION OF THUNDERSTORMS USING ARTIFICIAL NEURAL NETWORK
... The designed neural network has implemented according to the proposed architecture. It has trained and tested using different weather data. The weights and bias were updated with each iteration. It was ...
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Artificial Neural Network for Websites Classification with Phishing Characteristics
... the artificial neural networks was very encouraging considering that the modeled ANN-MLP was able to present a good result, observing the great complexity of the proposed ...used Artificial ...
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Classification of Ovarian Cysts Using Artificial Neural Network
... The inputs to the ANN are the five quantitative features which are Mean of A and B, Skewness, Kurtosis and Standard deviation. The outputs of the ANN are the two neurons due to the two type of cyst classifications which ...
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Protection and Controlling of Transmission Lines by using Machine Learning Techinique
... facility network, right from generation through transmission to distribution ...grid network for cover of conductor, generator protection, motor protection, real time fault location, protection of bus bar ...
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Classification Using Max-Margin and Kernel Dimensionality Reduction
... data. Classification and prediction are two forms of data analysis that can be used to extract models describing the important data classes or to predict the future data ...The classification predicts ...
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Glaucoma Recogination Using Superpixel Classification and Artificial Neural Network
... An artificial neural network (ANN) is a computational model based on the structure and functions of biological neural ...as neural network processor made up of simple processing ...
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Early detection of the advanced persistent threats attacks using performance analysis of deep learning
... detection, artificial intelligence methods are the best ...of network security, deep learning method has had the best performance comparing to other ...paper, artificial intelligence methods such as ...
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Optimizing Back-Propagation Gradient for Classification by an Artificial Neural Network
... that may arise. In addition, during emergency cases, many optimization methods are proposed to reduce processing time and improve network performance, considering these constraints and characteristics related to ...
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A Survey on Brain Tumor Classification Using Artificial Neural Network
... layer Neural network is created with 500 nodes in the first (input) layer, 1 to 50 nodes in the hidden layer, and 1 node as the output ...Forward Neural network ...
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Classification of Cancerous Skin using Artificial Neural Network Classifier
... The pre-processing is a modification of the image data that removes unwanted malformations or enhances some image features paramount for further processing. First, the image is resized to adjust images so that it ...
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Network Data Classification through Artificial Neural Networks and GenClust++ Algorithm
... The prediction accuracy may be altered by the presence of irrelevant or redundant attributes. We will perform two types of feature selection in order to improve the classification accuracy and the total ...
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Assessment of Severity Level for Diabetic Macular Oedema Using Machine Learning Algorithms
... The neural network classifier was employed to assess the severity level of the disease ...probabilistic neural network (PNN) were applied to classify the severity level of diabetic retinopathy ...
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Prediction of Skin Cancer Using Morphological Neural Network Analysis
... the classification stage involves the combinatorial use of Morphological Image Processing and Artificial Neural Network, called “Morphological Neural Network with Image Pruning” ...
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Training a functional link neural network using an artificial bee colony for solving a classification problems
... In this model, the colony of artificial bees consists of three groups: which are employed bees, onlookers and scouts [32]. For each food source there is only one artifi- cial employed bee. The number of employed ...
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Intelligent Neural Network For Bacteria Classification: An Innovation In Artificial Neural Network
... identification. Neural network has been exoploted as a soft-computing based classifier for the taxonomy of pathogenic ...Intelligent Neural Network has been considered as a mathematical model ...
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Fingerprint Classification using Artificial Neural Network
... fingerprint classification involves (i) the extraction of features of given fingerprint image, (ii) Feature Orientation (iii) labelling of each oriented fingerprint in to six class like arch, tented arch, right ...
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