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About Artificial Intelligent Weather Forecasting System: A Case Study Jasmeen Gill
This document summarizes an artificial intelligent weather forecasting system developed using a hybrid approach. The system uses both neural networks and genetic algorithms to make weather predictions. Neural networks are capable of predicting nonlinear weather behavior without explicitly modeling the underlying physics. However, training neural networks using backpropagation can result in problems. To address this, the system utilizes a genetic algorithm to help train the neural network. The hybrid model is able to make highly accurate weather forecasts. The key aspects covered are the use of neural networks and genetic algorithms for weather forecasting and the development of a hybrid model combining both approaches.
Detailed Information
| Author: | ['sanzit'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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