scholarly journals Probabilistic Neural Network based Managing Algorithm for Building Automation System

2021 ◽  
Vol 3 (4) ◽  
pp. 272-283
Author(s):  
Subarna Shakya
Keyword(s):  
Neural Network ◽  
Intelligent System ◽  
Probabilistic Neural Network ◽  
Automation System ◽  
Building Automation ◽  
Network Algorithms ◽  
Network Algorithm ◽  
Building Automation System ◽  
Software Modules ◽  
Neural Network Algorithm

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).

scholarly journals Social Media Analysis Using Probabilistic Neural Network Algorithm to Know Personality Traits

Jurnal INFORM ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 61-64
Author(s):  
Mohammad Zoqi Sarwani ◽  
Dian Ahkam Sani
Keyword(s):  
Neural Network ◽  
Social Media ◽  
Probabilistic Neural Network ◽  
Media Analysis ◽  
Training Data ◽  
The Internet ◽  
Accuracy Score ◽  
Network Algorithm ◽  
The Social ◽  
Neural Network Algorithm

The Internet creates a new space where people can interact and communicate efficiently. Social media is one type of media used to interact on the internet. Facebook and Twitter are one of the social media. Many people are not aware of bringing their personal life into the public. So that unconsciously provides information about his personality. Big Five personality is one type of personality assessment method and is used as a reference in this study. The data used is the social media status from both Facebook and Twitter. Status has been taken from 50 social media users. Each user is taken as a text status. The results of tests performed using the Probabilistic Neural Network algorithm obtained an average accuracy score of 86.99% during the training process and 83.66% at the time of testing with a total of 30 training data and 20 test data.

scholarly journals Neural Network Algorithm and Its Application in Supercritical Extraction Process

2021 ◽  
pp. 19-28
Author(s):  
Yu Qi ◽  
Zhaolan Zheng
Keyword(s):  
Neural Network ◽  
Separation Efficiency ◽  
Supercritical Extraction ◽  
Research Progress ◽  
Process Conditions ◽  
Network Algorithms ◽  
Network Algorithm ◽  
Optimization And Control ◽  
Neural Network Algorithm ◽  
And Control

Artificial neural network （ANN）algorithms can be used for multi-parameter optimization and control by simulating the mechanisms of the human brain. Therefore, ANN is widely used in many fields such as signal processing, intelligent driving, face recognition, and optimization and control of chemical processes. As a green and efficient chemical separation process, supercritical extraction is especially suitable for the separation and purification of active ingredients in natural substances. Because there are many parameters that affect the separation efficiency of the process, the neural network algorithm can be used to quickly optimize the process parameters based on limited experimental data to determine the appropriate process conditions. In this work, the research progress of neural network algorithms and supercritical extraction are reviewed, and the application of neural network algorithms in supercritical extraction is discussed, aiming to provide references for researchers in related fields.

scholarly journals A Study on the Application and the Advancement of Deep Neural Network Algorithm

2022 ◽  
Vol 2146 (1) ◽  
pp. 012001
Author(s):  
Jiulin Song ◽  
Yansheng Chen
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Learning Algorithm ◽  
Real Life ◽  
Research Area ◽  
Network Algorithms ◽  
Network Algorithm ◽  
New Type ◽  
Neural Network Algorithm ◽  
Global And Local

Abstract Deep neural network is a new type of learning algorithm, which has both global and local aspects and performs well in pattern recognition and computational speed. In recent years, deep neural network algorithm has been widely used in scientific research and real life, but its complexity, parallelism and other characteristics lead it to be a very challenging and innovative research area. This study briefly introduces the basic principles and theoretical knowledge of deep neural network algorithms, and mainly discusses their applications and Advancement of feature extraction in the field.

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