نتایج جستجو برای: negative selection algorithm
تعداد نتایج: 1531326 فیلتر نتایج به سال:
Particle swarm optimization(PSO) has been applied on feature selection with many improved results. Traditional PSO methods have some drawbacks when dealing with binary space, which may have negative effects on the selection result. In this paper, an algorithm based on fitness proportionate selection binary particle swarm optimization(FPSBPSO) will be discussed in detail aiming to overcome the p...
extension of inter-turn fault in windings of pmsm can damage all parts of electrical systems, and in some cases in sensitive applications may lead to irreparable events. identification of such small faults at incipient steps can be so helpful to protect entire part of electrical system. in this paper, intelligent protection system is designed which is made by two major parts. in the first part ...
Feature Selection (FS) is an important pre-processing step in machine learning and data mining. All the traditional feature selection methods assume that the entire feature space is available from the beginning. However, online streaming features (OSF) are an integral part of many real-world applications. In OSF, the number of training examples is fixed while the number of features grows with t...
We propose a novel feature selection algorithm for liver tissue pathological image classification. To improve the efficiency of feature selection, the same feature values of positive and negative samples are removed in rough selection. To obtain the optimal feature subset, a new heuristic search algorithm, which is called Maximum Minimum Backward Selection (MMBS), is proposed in precise selecti...
Several techniques exist to select and materialize a proper set of data in a suitable structure that manage the queries submitted to the online analytical processing systems. These techniques are called view management techniques, which consist of three research areas: 1) view selection to materialize, 2) query processing and rewriting using the materialized views, and 3) maintaining materializ...
Prediction of urban air pollution is an important subject in environmental studies. However, the required data for prediction is not available for every interested location. So, different models have been proposed for air pollution prediction. The feature selection (among 20 features given in Meteorology Organization data) was performed by binary gravitational search algorithm (BGSA) in this st...
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