Open AccessProbabilistic Neural Network based Managing Algorithm for Building Automation System
Author(s) -
Subarna Shakya
Publication year - 2021
Publication title -
journal of artificial intelligence and copsule networks
Language(s) - English
Resource type - Journals
ISSN - 2582-2012
DOI - 10.36548/jaicn.2021.4.001
Subject(s) - artificial neural network , computer science , probabilistic neural network , automation , algorithm , process (computing) , software , convolutional neural network , machine learning , artificial intelligence , probabilistic logic , building automation , process automation system , time delay neural network , probabilistic analysis of algorithms , data mining , engineering , mechanical engineering , programming language , physics , thermodynamics , operating system
A building automation system is a centralized intelligent system, which controls the operation of energy, security, water, and safety by the help of hardware and software modules. The general software modules employed for automation process have an algorithm with pre-determined decisions. However, such pre-determined decision algorithms won’t work in a proper manner at all situations like a human brain. Therefore a human biological inspired algorithms are developed in recent days and termed as neural network algorithms. The Probabilistic Neural Network (PNN) is a kind of artificial neural network algorithm which has the ability to take decisions same as like of human brains in an efficient way. Hence a building automation system is proposed in the work based on PNN for verifying the effectiveness of neural network algorithms over the traditional pre-determined decision making algorithms. The experimental work is further extended to verify the performances of the basic neural network algorithm called Convolution Neural Network (CNN).