DocumentCode :
2974616
Title :
Polynomial real roots finding using Feed forward Neural Network: A simple approach
Author :
Das, Mangal ; Seal, P.
Author_Institution :
Dept. of Inf. Technol., Jadavpur Univ., Kolkata, India
fYear :
2012
fDate :
21-22 Nov. 2012
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, an intelligent method for finding number of real roots of any polynomial using Feed forward Neural Network is proposed. To find the number of real roots using neural network is intelligent as well as challenging task. There are so many approaches for finding real roots of any polynomials. In this paper we survey all those approaches, try to find out their limitations, and propose a simple solution using perceptron network with supervised learning and multi adaptive neuron model (feed forward). Furthermore, the obtained experimental results indicate that our approach of neural networks is capable of performing this task with high accuracy and less time.
Keywords :
feedforward neural nets; learning (artificial intelligence); mathematics computing; polynomials; feed forward neural network; intelligent method; multi adaptive neuron model; perceptron network; polynomial real roots finding; supervised learning; Biological neural networks; Feeds; Mathematical model; Neurons; Polynomials; Feed forward neural network; Madaline; perceptron network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing and Communication Systems (NCCCS), 2012 National Conference on
Conference_Location :
Durgapur
Print_ISBN :
978-1-4673-1952-2
Type :
conf
DOI :
10.1109/NCCCS.2012.6413004
Filename :
6413004
Link To Document :
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