Research Article | Open Access | Download PDF
Volume 45 | Number 1 | Year 2017 | Article Id. IJETT-V45P212 | DOI : https://doi.org/10.14445/22315381/IJETT-V45P212
Realization of Logic Gates Using Mcculloch-Pitts Neuron Model
J.S.Srinivas Raju, Satish Kumar, L.V.S.S.Sai Sneha
Citation :
J.S.Srinivas Raju, Satish Kumar, L.V.S.S.Sai Sneha, "Realization of Logic Gates Using Mcculloch-Pitts Neuron Model," International Journal of Engineering Trends and Technology (IJETT), vol. 45, no. 1, pp. 52-56, 2017. Crossref, https://doi.org/10.14445/22315381/IJETT-V45P212
Abstract
Brain is the basic of human body which corresponds for all the functions. Neurons are responsible for the response of our body. Like the same way, artificial neurons are created which function as similar to that of biological brain. In this paper the response of the artificial neurons are obtained by using different threshold values and activation functions of logic gates. In this paper McCulloch-Pitts model is applied for the purpose of realization of logic gates.
Keywords
Artificial Neuron, Activation function, Weights, Logic gates. Etc
References
[1] Neural Networks, Fuzzy Logic, and Genetic Algorithms by S.Rajasekharan and G.A Vijayalakshmi Pai.
[2] OR GATE, Hyperphysics.phy-astr.gsu.edu.retrive2012-09-24
[3] http://williams.comp.ncat.edu/COMP370/LogicGates.
[4] pdf
[5] Mano, M.Morris and Charles R.Kine. Logic and Computer design Fundamentals, Third edition .Prentice Hall, and 2004.p.73
[6] Mano, M.Morris and Charles R.Kine. Logic and Computer design Fundamentals, Third edition .Prentice Hall, and 2004.p.73
[7] http://electricalstudy.sarutech.com/nand- gate/index.html
[8] Fletcher, William (1980). An engineering approach to digital design. Prentice Hall.p.98 ISBN 0-13-277699-5
[9] Mano, M.Morris and Charles R.Kine. Logic and Computer design Fundamentals, Third edition .Prentice Hall, and 2004.p.73
[10] The McCULLOCH- Pitts Model by Samantha Hayman.
PDF 
Citation
Abstract
Keywords
References