Data Mining Based Accuracy Enhancement Of ANN Using Swarm Intelligence

Authors

  • Sachin Sharma Department of Computer Science & Engineering, Suresh Gyan Vihar University, Jaipur, Rajasthan, India
  • Dr. Savita Shiwani HOD, Information Technology Department, Suresh Gyan Vihar University, Jaipur, Rajasthan, India

Keywords:

Data Mining, Neural Network, Elman Network, Feedforward Network, Swarm Intelligence, Genetic Algorithm

Abstract

Data mining describes the process of extracting value from a database. A data-warehouse is a location and information is stored in it. The type of data stored depends largely on the type of industry and the company. There are many tools available to a data mining practitioner. These include decision trees, various types of regression and neural networks. We use neural network and improve its accuracy. Neural networks which are used are Elman network and Feedforward network. Firstly both networks accuracy is calculated which is later optimized by use of genetic algorithm. Shortcoming of use of neural network is discussed. Neural networks are created in matlab. Optimization is performed on both the networks via Genetic algorithm which is further discussed in this paper.

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Published

2023-05-20

How to Cite

Sharma, S., & Shiwani, D. S. (2023). Data Mining Based Accuracy Enhancement Of ANN Using Swarm Intelligence. International Journal of Communication and Computer Technologies, 2(1), 43–46. Retrieved from https://ijccts.org/index.php/pub/article/view/32

Issue

Section

Research Article