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Title

Provide a method for approximation of the differential equation using computational intelligence

Year: 1400
COI: CEITCONF05_056
Language: EnglishView: 77
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Authors

Iman Sohrabi Moghadam Chafjiri - College of Skills and Entrepreneurship, Lahijan Branch, Islamic Azad University, Lahijan, Iran
Zahra Tokasi - College of Skills and Entrepreneurship, Lahijan Branch, Islamic Azad University, Lahijan, Iran

Abstract:

The purpose of this paper is to Provide a method for approximation of the differential equation using computational intelligence (CI). Function approximation is the study of selecting functions in a class that match target functions. It’s a process that is useful in applied mathematics and computer science. Function approximation is often related to a markov decision process which consists of an agent and various states. Supervised learning in machine learning can be described in terms of function approximation. Neural networks are an example of a supervised machine learning algorithm that is perhaps best understood in the context of function approximation. Artificial neural networks (ANNs) have recently also been applied to solve differential equations. In this papergiven a dataset comprised of in-puts and outputs, we assume that there is an unknown underlying function that is consistent in mapping inputs to outputs in the target domain and resulted in the dataset. We then use su-pervised learning algorithms to approximate bessel functions. The results of the simulation show the high accuracy of the proposed method in function approximation.

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Paper COI Code

This Paper COI Code is CEITCONF05_056. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1428860/

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Sohrabi Moghadam Chafjiri, Iman and Tokasi, Zahra,1400,Provide a method for approximation of the differential equation using computational intelligence,5th National Conference on Computer, Information Technology and Applications of Artificial Intelligence,Ahvaz,https://civilica.com/doc/1428860

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 3,194
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