Artificial Intelligent Systems and Machine Learning

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

An Overview of Artificial Neural Networks:Part 2 McCulloch-Pitts Model


Affiliations
1 Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune, India
2 Department of Information Technology, SKN College of Engineering, Pune, India
     

   Subscribe/Renew Journal


This paper presents the basic concepts of Artificial Neural Networks (ANNs) which helps to beginner of ANN. The history of ANN, different applications of ANN, different learning rules and different types of architectures are discussed in the introductory part of this paper. The architecture of ANN has been described in detail. The McCulloch Pitts model is explained with mathematical equations.   The McCulloch Pitts model is implemented for AND, OR, NOT and XOR gate. The algorithms for implementation of above gates have been given. To help users MATLAB code is also given in this paper.


Keywords

Artificial Neural Network, History of ANN, Learning Rules, Logic Gates.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 275

PDF Views: 3




  • An Overview of Artificial Neural Networks:Part 2 McCulloch-Pitts Model

Abstract Views: 275  |  PDF Views: 3

Authors

R. B. Dhumale
Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune, India
N. D. Thombare
Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune, India
P. M. Bangare
Department of Electronics and Telecommunication Engineering, Sinhgad College of Engineering, Pune, India
M. L. Bangare
Department of Information Technology, SKN College of Engineering, Pune, India

Abstract


This paper presents the basic concepts of Artificial Neural Networks (ANNs) which helps to beginner of ANN. The history of ANN, different applications of ANN, different learning rules and different types of architectures are discussed in the introductory part of this paper. The architecture of ANN has been described in detail. The McCulloch Pitts model is explained with mathematical equations.   The McCulloch Pitts model is implemented for AND, OR, NOT and XOR gate. The algorithms for implementation of above gates have been given. To help users MATLAB code is also given in this paper.


Keywords


Artificial Neural Network, History of ANN, Learning Rules, Logic Gates.