A novel condensed polynomial neural network using particle swarm optimization (PSO) technique is proposed for the task of classification in this paper. In solving classification task classical algorithms such as polynomial neural network (PNN) and its variants need more computational time as the partial descriptions (PDs) grow over the training period layer-by-layer and make the network very co...

The Bayesian network (BN) is a knowledge representation form, which has been proven to be valuable in the gene regulatory network reconstruction because of its capability of capturing causal relationships between genes. Learning BN structures from a database is a nondeterministic polynomial time (NP)-hard problem that remains one of the most exciting challenges in machine learning. Several heur...

Over the years, advanced IT technologies have facilitated the emergence of new ways of generating and gathering data rapidly, continuously, and largely and are associated with a new research and application branch, namely, data stream mining (DSM). Among those multiple scenarios of DSM, the Internet of Things (IoT) plays a significant role, with a typical meaning of a tough and challenging comp...

AbstrAct Globalization and market deregulation has increased business competition, which imposed OLAP data and technologies as one of the great enterprise's assets. Its growing use and size stressed underlying servers and forced new solutions. The distribution of multidimensional data through a number of serv-ers BLOCKINallows BLOCKINthe BLOCKINincreasing BLOCKINof BLOCKINstorage BLOCKINand BLO...

There are some difficulties encountered in the application of fuzzy Radial Basis Function (RBF) neural network. One of them is how to determine the number of hidden rule neurons and another difficulty is about interpretability. In order to overcome these difficulties, we have proposed a fuzzy neural network based on RBF network and takagi-sugeno fuzzy system. We have used a new structure of fuz...

Artificial bee colony (ABC) algorithm, one of the swarm intelligence algorithms, has been proposed for continuous optimization, inspired intelligent behaviors of real honey bee colony. For the optimization problems having binary structured solution space, the basic ABC algorithm should be modified because its basic version is proposed for solving continuous optimization problems. In this study,...

Cloud workflow system is a kind of platform service based on cloud computing. It facilitates the automation of workflow applications. Between cloud workflow system and its counterparts, market-oriented business model is one of the most prominent factors. The optimization of task-level scheduling in cloud workflow system is a hot topic. As the scheduling is a NP problem, Ant Colony Optimization ...

Nowadays, congestion management is one of the major tasks accomplished by system operators to warrant the operation of transmission system within operating limits. This has resulted in unanticipated congestion interfaces in regional transmission systems. The system is, however, unable to evolve at a rate which is required to meet the quickly changing demand of competitive markets. To make the m...

Adaptability to various driving conditions (TCs) is one of the essential indicators assess optimality power management strategies (PMSs) plug-in hybrid electric vehicles (PHEVs). In this study, a novel optimal PMS with improved adaptability TCs proposed for PHEVs achieve energy-efficient control in momentary scenarios by virtue advanced internet (IoVs), thus contributing remarkable promotion fu...