The work presents an application of Dempster-Shafer (DS) technique for combination of classification decisions obtained from two Multi Layer Perceptron (MLP) based classifiers for optical character recognition (OCR) of handwritten Bangla digits using two different feature sets. Bangla is the second ...
fields, such as handwritten numeral recognition38, object detection39, video classification40, and etc. Demonstration of building CNN based on memristive neuron may pave the way for further extensive use of memristive neural network in artificial intelligence. Most recently, fully integrated memristive n...
the results before classification. This is similar to the output layer of an MLP (Figure 1) [6]. Figure 1:An example CNN with two convolutional layers, two pooling layers, and a fully connected layer which decides the final classification of the image into one of several categories. Algorith...
Specifically, the recognition system consists of one or more multilayer perceptron networks (MLP) and hidden Markov models (HMM), which were trained using minimum classification error (MCE) method or embedded Viterbi (EV) training. The goal of the paper is to compare the performances of these ...
Firstly, the features are used independently by five classifiers: K-nearest neighbor (KNN), Support Vector Machines (SVM) one versus one, SVM one versus all, Decision Tree, MLP. Then to achieve the best possible classification performance in terms of recognition rate, three methods of ...
Further, the first five best accuracy-based combined recognition systems are RBF-CT, RBF-ST, RBF-WT, PNN-CT and MLP-CT which offers percentage classification accuracy of 98.70, 96.22, 95.12, 95.10 and 93.60, respectively.Babita MajhiDepartment of Computer Science and Information TechnologyPuspa...
A multilayer perceptron (MLP) is used for classification and a self-organised feature map is employed for dimensionality reduction of features. Various MLP architectures are studied in this article and it is found that a recognition accuracy of 100% is obtained with the least computational ...
Further, the first five best accuracy-based combined recognition systems are RBF-CT, RBF-ST, RBF-WT, PNN-CT and MLP-CT which offers percentage classification accuracy of 98.70, 96.22, 95.12, 95.10 and 93.60, respectively.Babita MajhiDepartment of Computer Science and Information TechnologyPuspa...
Automated Feature Extraction on AsMap for Emotion Classification Using EEG. Sensors 2022, 22, 2346. [Google Scholar] [CrossRef] Sadik, R.; Majumder, A.; Biswas, A.A.; Ahammad, B.; Rahman, M.M. An in-depth analysis of Convolutional Neural Network architectures with transfer learning for...
including Support Vector Machine (SVM), Multilayer Perceptron (MLP), and flavors of the EfficientNet. These algorithms serve as a baseline. Furthermore, we propose a convolutional neural network (CNN) for audio digit classification. We conduct the experiment using these networks, and the results ...