feed-forward neural network classifier
Training Neural networks for Experimental models: Classifying Biomedical Datasets for Sickle Cell Disease
... of neural network architectures for the classification of medical ...that neural networks generate significant improvements when used for the pre-processing of medical time-series data signals and ...
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Early Detection and Prediction of Lung Cancer Survival using Neural Network Classifier
... Supervised feed-forward back-propagation neural network ensemble used as a classifier ...previously, neural network differs in various ways from traditional classifiers ...
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Assamese Digit Recognition with Feed Forward Neural Network
... tree classifier algorithm is designed for classification of ...A neural network based Gujarati handwritten numeral recognition is proposed by Apurva ...A feed forward back propagation ...
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Performance Evaluation of Feed Forward Neural Network for Image Classification
... a classifier of FFNN with back propagation algorithm for patients survival analysis and found that it has better accuracy compared to Radial Basis Function Neural Network (RBFNN) ...fuzzy-feed ...
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Breast Cancer Classification using Feed Forward Back Propagation Neural Network (BPNN) Classifier
... using Feed Forward Back Propagation Neural Network (BPNN) ...using Feed Forward Back Propagation Neural Network classifier has achieved excellent ...
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FACE RECOGNITION USING GABOR WAVELET TRANSFORM AND FEED FORWARD NEURAL NETWORK
... using neural network methods has been ...and Feed Forward Neural system ...then Feed Forward Neural Network as a ...grid. Neural Network is ...
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A NOVEL TWO DIMENSIONAL SPECTRAL/SPATIAL HYBRID CODE FOR OPTICAL CODE DIVISION MULTIPLE ACCESS SYSTEM
... using Feed-Forward Neural Network (FFNN) and Convolutional Neural Network (CNN) techniques, which are designed and ...the classifier upon any modification to the database ...
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REVIEW STRATEGY FORFACERECOGNITION USING GABOR FILTER
... Artificial Neural Network (ANN) and Gabor ...image classifier which is a Feed Forward Neural Network ...This network works on a reduced feature sub space learned by ...
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Emotion Recognition using Feed Forward Neural Network & Naïve Bayes
... SVM (Support Vector Machine) is used to classify the emotions, generally SVM classifies two class label predictions but here we have 6 different types of emotions. SVM is extended to classify multi class labels using ...
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Intrusion Detection System Using Hybrid Approach by MLP and K-Means Clustering
... A neural network is type of network as a set of distributed units following by a particular topology ...artificial neural network functions are used in different model proposed by ...
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Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers
... language processing and sentiment recognition by varying different parameters [14]. It is pretty challenging to get a good performance as more parameters are needed for the large-scale neural network. Many ...
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Detection of Phishing Emails using Feed Forward Neural Network
... the neural network was trained with different number of hidden ...the neural network is 9100 phish and ham ...the neural network and 3100 emails were used to test the system ...
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Predicting terrain contours using a feed forward neural network
... a feed-forward neural network (FFNN), trained using a back-propagation (Jones, 1995) supervised training ...traversing forward in a straight line from right to left as shown in ...
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Performance Analysis of Face Recognition by Principal Component Analysis and Feed Forward Neural Network
... artificial neural networks (ANNs). While evolutionary techniques for neural networks have shown to provide superior performance over conventional training approaches, the simultaneous optimization of ...
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A Unique Approach to Epilepsy Classification from EEG Signals Using Dimensionality Reduction and Neural Networks
... the Neural Networks (NN) such as Cascaded Feed Forward Neural Network (CFFNN), Time Delay Neural Network (TDNN) and Generalized Regression Neural Network ...
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An Analysis of Migration in the Island Model on Feed Forward Neural Network
... on feed forward neural network which employs DE as the learning ...optimal network connection weights can be obtained by using island-based parallel differential evolution algorithm is ...
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Would two-stage scoring models alleviate bank exposure to bad debt?
... layer feed-forward neural network and probabilistic neural network are used in building credit scoring models for the Indian banking ...probabilistic neural networks, can ...
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Idendifying Eye Movements using Neural Networks for Human Computer Interaction
... The FFNN is trained using Levenberg back propagation training algorithm because it finds a solution even if it starts very far off the final minimum. The training and testing samples are normalized between 0 and 1 using ...
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To Improve the Performance of Secondary Structure Prediction by Soft Computing Technique
... of neural network for training and predicting alpha-helix, beta-sheet and combined prediction of both alpha-helix and beta-sheet (three different training sessions) on the training sets taken from ...
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Comparison of Artificial Intelligence Techniques for river flow forecasting
... Artificial Neural Network (ANN) methods, Generalized Regression Neural Networks (GRNN) and Feed Forward Neural Networks (FFNN), and Auto-Regressive (AR) models for forecasting of ...
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