scholarly journals WEATHER PREDICTION USING FUZZY PETRI NETS

2020 ◽  
Vol 5 (8) ◽  
Author(s):  
Dharshinee R ◽  
P Suguna
Keyword(s):  
Petri Nets ◽  
Weather Prediction ◽  
Weather Condition ◽  
Atmospheric Temperature ◽  
Rule Base ◽  
Linguistic Variables ◽  
Main Aspect ◽  
Fuzzy Petri Nets ◽  
Base Technique

In fields such as economy, agriculture, weather etc., forecasting plays an important role as it predicts a way to vague situations and events. Weather prediction plays a crucial role as it provides about Weather condition which is a main aspect in the field of agriculture. In this work, Fuzzy knowledge rule base technique is used to predict the objects contained in atmospheric temperature and wind speed. Fuzzy Petri nets are used for classification of data with linguistic variables.

A self-navigating robot using Fuzzy Petri nets

2018 ◽  
Vol 101 ◽  
pp. 153-165 ◽  
Author(s):  
Seung-yun Kim ◽  
Yilin Yang
Keyword(s):  
Petri Nets ◽  
Fuzzy Petri Nets

scholarly journals Weather Prediction using Advanced Machine Learning Techniques

2021 ◽  
Vol 2089 (1) ◽  
pp. 012059
Author(s):  
G. Hemalatha ◽  
K. Srinivasa Rao ◽  
D. Arun Kumar
Keyword(s):  
Linear Relationship ◽  
Weather Prediction ◽  
Weather Condition ◽  
Weather Conditions ◽  
Machine Learning Techniques ◽  
Weather Data ◽  
Learning Techniques ◽  
Proposed Model ◽  
Non Linear ◽  
The Relationship

Abstract Prediction of weather condition is important to take efficient decisions. In general, the relationship between the input weather parameters and the output weather condition is non linear and predicting the weather conditions in non linear relationship posses challenging task. The traditional methods of weather prediction sometimes deviate in predicting the weather conditions due to non linear relationship between the input features and output condition. Motivated with this factor, we propose a neural networks based model for weather prediction. The superiority of the proposed model is tested with the weather data collected from Indian metrological Department (IMD). The performance of model is tested with various metrics..

Application of Fuzzy Petri Nets in Hydraulic Pump Fault Diagnosis

2014 ◽  
Vol 1008-1009 ◽  
pp. 1176-1179
Author(s):  
Hai Dong ◽  
Heng Bao Xin
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Hydraulic Pump ◽  
Modeling And Analysis ◽  
Matrix Operations ◽  
Knowledge Reasoning ◽  
Fuzzy Production Rules ◽  
The Matrix ◽  
Fuzzy Petri Nets ◽  
Definition Of

In this paper, an approach of fuzzy Petri nets (FPN) is proposed to simulate the fault spreading and diagnosis of hydraulic pump. First, the fuzzy production rules and the definition of FPN were briefly introduced. Then, its knowledge reasoning process and the matrix operations based on an algorithm were conducted, which makes full use of its parallel reasoning ability and makes it simpler and easier to implement. Finally, a case of hydraulic pump fault diagnosis with FPN was presented in detail, for illustrating the interest of the proposed modeling and analysis algorithm.

Sign in / Sign up

Export Citation Format

Share Document