Artificial Neural Network based Weather Prediction using Back Propagation Technique
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 8
Abstract
Weather forecasting is a natural phenomenon which has some chaotic changes happening with the passage of time. It has become an essential topic of research due to some abrupt scenarios of weather. As the data of forecast is nonlinear and follows some irregular trends and patterns, there are many traditional techniques (the literature like nonlinear statistics) to work on the efficiency of models to make prediction better than previous models. However, Artificial Neural Network (ANN) has so far evolved out to be as a better way to improve the accuracy and reliability. The ANN is one of the most fastest growing technique of machine learning considered as non-linear predictive models to perform classification and prediction weather forecasts maximum temperature for the whole days (365) of the year. Therefore, a multi-layered neural network is designed and trained with the existing dataset and obtained a relationship between the existing non-linear parameters of weather. Eleven weather features were used to perform classification of weather into four types. Furthermore, twenty training examples from 1997-2015 were used to predict eleven weather features. The results revealed that by increasing the number of hidden layers, the trained neural network can classify and predict the weather variables with less error.
Authors and Affiliations
Saboor Ahmad Kakar, Naveed Sheikh, Adnan Naseem, Saleem Iqbal, Abdul Rehman, Aziz Ullah Kakar, Bilal Ahmad Kakar, Hazrat Ali Kakar, Bilal Khan
Keywords
Related Articles
- EP ID EP376486
- DOI 10.14569/IJACSA.2018.090859
- Views 100
- Downloads 0
Ethernet Based Remote Monitoring And Control Of Temperature By Using Rabbit Processor
Networking is a major component of the processes and control instrumentation systems as the network’s architecture solves many of the Industrial automation problems. There is a great deal of benefits in the process of in...
Novel LVCSR Decoder Based on Perfect Hash Automata and Tuple Structures – SPREAD –
The paper presents the novel design of a one-pass large vocabulary continuous-speech recognition decoder engine, named SPREAD. The decoder is based on a time-synchronous beam-search approach, including statically expande...
MobisenseCar: A Mobile Crowd-Based Architecture for Data Acquisition and Processing in Vehicle-Based Sensing
The use of wireless technology via smartphone allows designing smartphone applications based on OBD-II for increasing environment sensing. However, uploading of vehicle’s diagnostics data via car driver’s tethered smart...
Iterative Learning Control for Trajectory Tracking of Single-link Flexible Arm
This paper focuses on the issue of tracking the trajectory of a flexible arm. The purpose is to ensure the flexible arm follows the desired path in the joint space. To achieve our objective, we have three problems to sol...
Effective Framework of Pedagogy
Learning paths drive learners to proficiency by using a selected sequence of training activities under time constraints. Therefore, learners can regulate learning and give feedback for pedagogy improvements. Studying lea...