نتایج جستجو برای: probabilistic neural network

تعداد نتایج: 888025  

Journal: :CoRR 2011
A. S. N. Chakravarthy P. S. Avadhani P. E. S. N. Krishna Prasad N. Rajeevand D. Rajasekhar Reddy

Password authentication using Hopfield Networks is presented in this paper .In this paper we discussed the Hopfield Network Scheme for Textual and graphical passwords, for which input Password will be converted in to probabilistic values. We observed how to get password authentication using Probabilistic values for Textual passwords and Graphical passwords. This study proposes the use of a Hopf...

Journal: :CoRR 2014
Kenric P. Nelson Madalina Barbu Brian J. Scannell

Neural network design has utilized flexible nonlinear processes which can mimic biological systems, but has suffered from a lack of traceability in the resulting network. Graphical probabilistic models ground network design in probabilistic reasoning, but the restrictions reduce the expressive capability of each node making network designs complex. The ability to model coupled random variables ...

2013
Qiang Li Bo Li

The analysis on the online finger gesture recognition using multi-channel sEMG signals was explored in this paper. Nine types of gestures were applied to be identified, involving six kinds of numerical finger gestures and three kinds of hand gestures. The time domain parameters were extracted to be the features. And then, the probabilistic neural network was utilized to classify the proposed ge...

2011
Jerry K Bilbrey Neil F Riley

Investment theory has as a major tenet the concept of efficient markets. In an efficient market all information is fully reflected in the price of a stock. As such, there is no trading strategy based on known data that can earn an abnormal profit. Using price and volume data, this design and subsequent model produces a weak form test of the efficient markets hypothesis. First, an Object-Oriente...

2015
G. Vinodhini R. M. Chandrasekaran

Artificial neural networks; Sentiment analysis; Text classification; Opinion mining; Support vector machine Abstract The aim of sentiment classification is to efficiently identify the emotions expressed in the form of text messages. Machine learning methods for sentiment classification have been extensively studied, due to their predominant classification performance. Recent studies suggest tha...

Journal: :Intelligent Automation and Soft Computing 2023

Opinion Mining (OM) studies in Arabic are limited though it is one of the most extensively-spoken languages worldwide. Though interest OM language growing among researchers, needs a vast number investigations due to unique morphological principles language. experience multiple challenges owing poor existence sources and Arabic-specific linguistic features. The comparative English wide novel. Bu...

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