Titlebook: Computational Intelligence and Intelligent Systems; 7th International Sy Kangshun Li,Jin Li,Aniello Castiglione Conference proceedings 2016

吸引人的花招

A New GEP Algorithm and Its Applications in Vegetable Price Forecasting Modeling Problemsts show that the new GEP Algorithm can not only increase the diversity of population but overcome the shortage of primitive GEP. In addition, it can improve convergence accuracy compared to original GEP.

ASTER

1865-0929 d learning;neuro-dynamics and neuro-engineering; fuzzy logic and control; collectiveintelligence and hybrid systems; deep learning; knowledge discovery; learningand reasoning..978-981-10-0355-4978-981-10-0356-1Series ISSN 1865-0929 Series E-ISSN 1865-0937

coltish

Postulate

Strabismus A Neurodevelopmental Approachained by the Ant-Miner. algorithm is statistically significantly higher than the predictive accuracy of other rule induction classification algorithms, such as CN2, C4.5rules, PSO/ACO2, Ant-Miner, .Ant-Miner., and the rules discovered by the Ant-Miner. algorithm are considerably simpler than those discovered by the counterparts.

離開就切除

Selecting Training Samples from Large-Scale Remote-Sensing Samples Using an Active Learning Algorithlations, substantially reducing operating time and improving training efficiency. The test results of the proposed approach was compared with those of random sampling and stratified systematic sampling, and the effects of training samples on classification under optimized and non-optimized selection conditions was analyzed.

粉筆

osteocytes

Conference proceedings 2016most up-to-date research in analysis andtheory of evolutionary computation, neural network architectures and learning;neuro-dynamics and neuro-engineering; fuzzy logic and control; collectiveintelligence and hybrid systems; deep learning; knowledge discovery; learningand reasoning..

脊椎動物

Sto?probleme in Physik, Technik und Medizin strategy of OBL is used to enlarge the search region, and the operator of DE is utilized to enhance local search to improve. Comparison experiments have demonstrated that our hybrid GSO algorithm performed advantages over previous GSO and DE approaches in convergence speed and accuracy of solution.

妨礙

顯赫的人

https://doi.org/10.1007/978-3-642-95245-6her reduce the search space. The results shows that the shortcomings of slow convergent speed and low efficiency could be overcome by using the improved genetic algorithm to solve these problems, compared with the traditional genetic algorithm.