— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
Recent progress in genomics and proteomics makes it possible to understand the biological networks at the systems level. We aim to develop computational models of learning and memo...
— This paper presents an improvement to the vanilla version of the simulated annealing algorithm by using opposite neighbors. This new technique, is based on the recently propose...
— In this paper, a time varying jumping rate (TVJR) model for Opposition-Based Differential Evolution (ODE) has been proposed. According to this model, the jumping rate changes l...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
— We evaluate the average waiting time between observing the price of financial markets and the next price change, especially in an on-line foreign exchange trading service for ...
Abstract— Centroid, cardinality, fuzziness, variance and skewness are all important concepts for an interval type-2 fuzzy set (IT2 FS) because they are all measures of uncertaint...
I describe my experiences as an artist in making large digital portraits along with some of the issues that make this process more exciting, and cumbersome, than picking up a penc...
Wikis can be considered as public domain knowledge sharing system. They provide opportunity for those who may not have the privilege to publish their thoughts through the traditio...