Pal S.K. and Mitra S., "Noisy Fingerprint Classification Using Multilayer Perceptron with Fuzzy Geometrical and Textural Features," Fuzzy Sets and Systems, vol. 80, no. 2, pp. 121-132, 1996.Pal S K, Mitra S.Noisy fingerprint classification using multilayer perception with fuzzy geometrical ...
Lithofacies Classification Using the Multilayer Perceptron and the Self-organizing Neural Networks, Lecture Notes in Computer Science 2012; 7667: 737-744.Ouadfeul, S.A., Aliouane, L., 2012. Lithofacies classification using the multilayer perceptron and the self-organizing neural networks. Neural ...
A multilayer perceptron is used to perform the feature-level fusion and is compared to a k-nearest-neighbor classifier as well as a nonparametric Bayesian classifier using Parzen windows. All three classifiers show statistically significant improvement from the fusion process; however, the multilayer ...
Multilayer perceptron, fuzzy sets, and classification A fuzzy neural network model based on the multilayer perceptron, using the backpropagation algorithm, and capable of fuzzy classification of patterns is de... SK Pal,S Mitra - 《IEEE Transactions on Neural Networks》 被引量: 853发表: 1992年 ...
In this paper we introduce a technique for incorporating adaptive, rotationally invariant (RI), feature extraction into the initial layer parameters of a multilayer perceptron for classifying real IR imagery. Feature extraction parameters are not usually estimated directly due to their high dimensionality...
increases the success rate of leaf shape classification. An average classification rate greater than 95 % was achieved using the multilayer perceptron for all the species in the FLAVIA data set. Good results were also obtained with other classifiers like KNN (90.5 %) and Naive Bayes (88 %). ...
In this paper, the authors present a study of a network fingerprinting classification using monotone multilayer perceptron neuronal networks. It is part of an overall performance engineering approach. The classification is used to increase the performance of an active queue management on the quality of...
In this study, the Hilbert-Huang Transform and the Multilayer Perceptron Neural Network model are implemented in order to detect and classify disturbances in power quality. Eight common types of disturbances were analyzed based on the parameters stated in the IEEE 1159 standard. By means of ...
Detection and classification of undersea objects using multilayer perceptrons Detection and Classification of Undersea Objects Using Multilayer Perceptron // SPIE. Applications of Artificial Neural Networks. 1991. Vol. 1469, N2. P. ... DJ Shazeer,M Bello - Applications of Artificial Neural Networks II...
Extreme learning machine (ELM) is a feedforward neural network with one hidden layer, which is similar to a multilayer perceptron (MLP). To reduce the comp... D Qian - International Society for Optics and Photonics 被引量: 10发表: 2017年 Musical pitch estimation using a supervised single hi...