International Journal of Computational Intelligence Systems

ISSN: 1875-6883
Volume 7, Issue 5, September 2014
Mohammad Doraghinejad, Hossein Nezamabadi-pour
Pages: 809 - 826
Inspiring by nature have motivated many researchers in many fields of sciences and engineering. The Gravitational search algorithm (GSA) is a recent created metaheuristic algorithm by using law of gravity and mass interactions. In this paper, a new operator inspired by some of the characteristics of...
Yongli Li, Chong Wu, Jiaming Liu, Peng Luo
Pages: 853 - 864
Predicting stock composite index is useful, which can raise the interest of both the investors and the corresponding researchers. This paper presented a new combination prediction model based on the technique of artificial intelligence and the principle of combination forecast. The principle of combination...
Rajiv Ranjan Singh, Sailesh Conjeti, Rahul Banerjee
Pages: 909 - 923
Designing a wearable driver assist system requires extraction of relevant features from physiological signals like galvanic skin response and photoplethysmogram collected from automotive drivers during real-time driving. In the discussed case, four stress-classes were identified using cascade forward...
B KavithaRani, A. Govardhan
Pages: 937 - 951
Rainfall prediction has emerged as a challenging time-series prediction problem in recent years. In this paper, we propose a novel rainfall prediction technique using effective feature indicators and a hybrid technique. Our proposed model consists of three phases, namely, layer model simulation, training...
Shabana Mehfuz, Farah Rashid
Pages: 973 - 978
Network reconfiguration of a power distribution system is an operation to alter the topological structure of distribution feeders by changing open/closed status of sectionalizing and tie switches. Network reconfiguration balances feeder loads and helps in managing overload conditions of the network by...
Vahid Seydi Ghomsheh, Mohamad Teshnehlab, Mahdi Aliyari Shoorehdeli, Mojaba Ahmadieh Khanesar
Pages: 979 - 992
This study presents the normative knowledge source for the belief space of cultural algorithm(CA) based on an adaptive Radial Basis Function Neural Network (RBFNN). The use of the RBFNN makes it possible to use the previous upper and lower bounds of the normative knowledge to update them and to extract...