neural-network-based classifier
Image Data Categorization Based on Texture Feature and Neural Network Based Classifier
... The process of optimization considers the large feature space in two sections: one is feature space and optimization process, another one is feature sub space. The process of optimization calculates the process of ...
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A New Approach to Pollen Classification using Computational Intelligence
... improved neural network based classifier is trained from the training dataset, where a feature vector is mapped onto a particular pollen class or name of plant ...The neural ...
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Android-Based Rice Variety Classifier (Arvac) Using Convolutional Neural Network
... Convolutional Neural Network was used as a new method to classify and identify rice variety in terms of visual features such as size, color, shape, and texture of the ...Variety Classifier can be ...
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Wear Particle Classifier System Based on an Artificial Neural Network
... "Neural Network for Wear Particle Classification", Neural_WPC, was used to perform the ...training network and particle classifier. The training network executes the MLP ...
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Quaternion Based Fuzzy Neural Network Classifier for MPIK Dataset's View-invariant Color Face Image Recognition
... Another recently developed color face recognition method is the use of hypercomplex Gabor filters [5]. Conventional Gabor filters are used in many face recognition applications [6-8] and they are proven to obtain good ...
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Early Detection and Prediction of Lung Cancer Survival using Neural Network Classifier
... and neural network classifier to check the state of a patient in its early stage whether it is normal or ...is based on the correct and incorrect classification of the ...
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Building and Improving Artificial Neural Network Classifier
... model based on different parameter shown in ...in neural network and we have checked with other possible combination but we got the best result with Adam and ...
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Comparison of Machine Learning Classifiers for Recognition of Online and Offline Handwritten Digits*
... Instance Based Learner, Decision Tree and Neural Network for single digit ...instance based classifier performed slightly better than the neural network with a maximal ...
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Document Analysis And Classification Based On Passing Window
... classification, Neural Network (Multilayer Perceptron- Back propagation) classifier is applied to classify each region to text or non text based on a number of features extracted in feature ...
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Classification of Power Quality Events Using Wavelet Analysis and Probabilistic Neural Network
... wavelet based neural network has been implemented to classify the transients due to capacitor switching, motor switching, faults, converter and transformer ...Probabilistic neural ...
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Artificial Neural Network Based Fault Classifier for Transmission Line Protection
... RBF neural network based scheme for classification of transmission line faults is presented in this ...„Neural Network Toolbox‟ [20] taking into account wide variations in fault ...
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An application of artificial neural network classifier for medical diagnosis
... proposed neural network model, and brief steps on how to design the network model for medical ...the network simulation, (2) the pre-processing procedure which is used to remove the ...
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Support Vector Machine Neural Network Based Optimal Binary Classifier for Diabetic Retinopathy
... Lisoba, Ifeachor and Szczepaniak describe variations in biomedical data which are affected by factors such as medication, environmental conditions, age, weight, mental and physical state. Consequently, clinical ...
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K Means Based Probabilistic Neural Network (KPNN) For Designing Physical Machine – Classifier
... In this paper, we have discussed various factors of K - means and PNN with special reference to processing VM data. The cluster centres serve as good inputs to PNN and the cluster centres themselves are found to be good ...
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Recent Trends and Insight Towards Automated Identification of Plant Species
... leaf- based recognition is more common and reliable as it is claimed to be easily accessible and abundant compared to other plant morphological structures such as flowers, barks or ...Artificial Neural ...
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Adaptive Neuro Fuzzy Inference System based Optical Character Recognition
... our classifier in case we are considering using data mining techniques for such ...ANFIS classifier (combining ANFIS) was trained using the outputs of the five ANFIS classifiers as input ...the ...
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Fault Classification, Distance Location and Faulty Section Identification in Teed Transmission Circuits using Artificial Neural Network
... classification based neural network [13], to teed circuit transmission ...line. Based on the authors’ comprehensive digital simulations of the teed-circuit transmission systems, particular ...
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Handwritten Character Recognition using Different Kernel based SVM Classifier and MLP Neural Network (A COMPARISON)
... In the segmentation stage, an image of sequence of character is decomposed into sub-images of individual character [11]. In this system, the pre-processed input image is segmented into individual characters by assigning ...
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Design of MLP-NN Classifier Block with Sensitivity Analysis Type of Dimensionality Reduction Technique for Assessment of State of Degradation in Stator Insulation of Induction Motor
... specifications, based on ‗multilayer perceptron‘ (MLP) type of ‗ANN‘ architecture with ‗sensitivity analysis‘ (SA) type of ‗dimensionality reduction‘ (DR) technique does exceed the desired performance criterion, ...
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Easy First Dependency Parsing with Hierarchical Tree LSTMs
... search based parsers that use local features that are fed to a neural-network classifier (Pei et ...transition based parsers that use local features that are fed into a neural- ...
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