Modelling the structure of cognitive systems is a central goal of the cognitive sciences—a
goal that has greatly benefitted from the application of network science approaches. This …

In a competitive electricity market, wind power prediction is important for market participants.
However, the prediction has not a general solution due to its inherent uncertainty …

Online to Offline (O2O) commerce is a newly business model between company and
customers. Under such environment, it is very important to recommend some useful and …

By integrating the small-world (SW) property into the design of feedforward neural networks,
the network performance would be improved by well-documented evidence. To achieve the …

Bangla handwritten character recognition is one of the complex works because of the wide
variation of the Bangla character. In this paper we proposed a new approach for extracting …

In human brain the neurons are excited in a dynamic way. The response of different neurons
varies widely because of the variation of electrical signal in every neuron. Backpropagation …

The administration of power system has gotten more troublesome than before in light of the
fact that power systems are worked nearer as far as possible, ecological requirements limit …

There has been developed many method for the better convergence and generalization
ability of neural network. Multilayer Perceptron (MLP) is made multi hidden layered structure …

Unburned carbon in fly ash is an important parameter affecting combustion efficiency of coal-
fired boiler. In view of the deficiency of feed-forward neural network soft sensor modeling on …

Implicit Path Enumeration (IPE) is the most popular calculation technique used in WCET
analysis as it generally provides the most precision. It utilises the Control Flow Graph (CFG) …