A Novel Method in Two-Step-Ahead Weight Adjustment of Recurrent Neural Networks: Application in Market Forecasting
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 7
Abstract
Gold price prediction is a very complex nonlinear problem which is severely difficult. Real-time price prediction, as a principle of many economic models, is one of the most challenging tasks for economists since the context of the financial agents are often dynamic. Since in financial time series, direction prediction is important, in this work, an innovative Recurrent Neural Network (RNN) is utilized to obtain accurate Two-Step- Ahead (2SA) prediction results and ameliorate forecasting per- formances of gold market. The training method of the proposed network has been combined with an adaptive learning rate algorithm and a linear combination of Directional Symmetry (DS) is utilized in the training phase. The proposed method has been developed for online and offline applications. Simulations and experiments on the daily Gold market data and the benchmark time series of Lorenz and Rossler shows the high efficiency of proposed method which could forecast future gold price precisely.
Authors and Affiliations
Narges Motlagh, Amir Ghiasi
Keywords
Related Articles
- EP ID EP112542
- DOI 10.14569/IJACSA.2016.070764
- Views 97
- Downloads 0
Content Based Image Retrieval Using Gray Scale Weighted Average Method
High feature vector dimension quietly remained a curse element for Content Based Image Retrieval (CBIR) system which eventually degrades its efficiency while indexing similar images from database. This paper proposes CBI...
Artificial Potential Field Algorithm Implementation for Quadrotor Path Planning
Potential field algorithm introduced by Khatib is well-known in path planning for robots. The algorithm is very simple yet provides real-time path planning and effective to avoid robot’s collision with obstacles. The pur...
Interest Reduction and PIT Minimization in Content Centric Networks
Content Centric Networking aspires to a more efficient use of the Internet through in-path caching, multi-homing, and provisions for state maintenance and intelligent forwarding at the CCN routers. However, these benefit...
Dynamic Software Architecture for Medical Domain Using Pop Counts
Over the past few decades, the complexity of software for almost any era has increased significantly. The aim of this paper is to provide an approach which not only feasible but also decision-oriented in medical era. It...
Gesture Recognition based on Human Grasping Activities using PCA-BMU
This research study presents the recognition of fingers grasps for various grasping styles of daily living. In general, the posture of the human hand determines the fingers that are used to create contact between an obje...