A Comprehensive Review on Mc Culloch-Pitts Neuron Model
J. Vijaychandra1, B. Sesha Sai2, B. Sateesh Babu3, P. Jagannadh4
1J.Vijaychandra, Department of EEE, Sri Sivani College of Engineering, Srikakulam (Andhra Pradesh), India.
2B.Sesha sai, Department of EEE, Sri Sivani College of Engineering, Srikakulam (Andhra Pradesh), India.
3B.Sateesh Babu, Department of EEE, Sri Sivani College of Engineering, Srikakulam (Andhra Pradesh), India.
4P. Jagannadh, Department of EEE, Sri Sivani College of Engineering, Srikakulam (Andhra Pradesh), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1516-1522 | Volume-8 Issue-6, April 2019 | Retrieval Number: F4003048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This Paper presents the concepts of basic models of Biological Neuron and the Artificial Neurons. The main aim of writing this paper is to provide the concepts of basic model of Artificial Neural Networks i.e., McCulloch-Pitts Neuron model and implementation of logical gates viz., AND, OR, NOT, AND NOT and XOR with detailed calculations. In addition, this Paper also addresses on the Historical developments of the Artificial Neural Networks.
Keyword: Artificial Neural Networks, Biological Neuron McCulloch-Pitts, Neuron Model.
Scope of the Article: Probabilistic Models and Methods