A CRO Based FLANN for Forecasting Foreign Exchange Rates Using FLANN

被引：7
|
作者：
Sahu, K. K. [1 ]
Biswal, G. R. [1 ]
Sahu, P. K. [1 ]
Sahu, S. R. [1 ]
Behera, H. S. [1 ]
机构：
[1] Veer Surendra Sai Univ Technol, Dept Comp Sci Engn & Informat Technol, Burla 768018, Odisha, India
来源：
COMPUTATIONAL INTELLIGENCE IN DATA MINING, VOL 1 | 2015年 / 31卷
关键词：
Forecasting; Foreign exchange rate; FLANN; Chemical reaction optimization; Back propagation;
D O I：
10.1007/978-81-322-2205-7_60
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The trend in financial trading shows a significant growth in recent years due to globalization in financial market. Foreign Exchange Rate in these days plays a crucial role in financial marketing. The trend of foreign exchange rate follows nonlinear function which can be solved by artificial neural network. In this paper an adaptive CRO based FLANN forecasting model has been proposed for prediction of foreign exchange rate. This model predicts the dollar exchange rate of currencies in Rupees, Yen and Euro which varies over time. The experimental result shows that CRO based FLANN model trained with LMS performs better and efficient than FLANN model.
引用
收藏
页码：647 / 664
页数：18
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