A COMPARATIVE ANALYSIS OF WEB INFORMATION EXTRACTION TECHNIQUES DEEP LEARNING vs. NAÏVE BAYES vs. BACK PROPAGATION NEURAL NETWORKS IN WEB DOCUMENT EXTRACTION

Sendo a escola parte dessa sociedade que tem como principal objetivo e produzir conhecimento que não aprende se em casa ou na comunidade, o conhecimento pedagógico. E

In this study, an artificial neural network method using the back-propagation algorithm was proposed for the prediction of ferric iron precipitation in uranium bioleaching

Um indivíduo, ao se defrontar com um problema ou desafio tende a tomar uma atitude coerente com seus princípios e valores (conhecimentos e objetivos). Mas também pode agir de acordo

(2015) investigated combined hot air/infrared drying process and reported that feed forward back propagation neural network with topology of 4-8-14-1, training algorithm

Based on the experimental data from the isothermal compressions of 42CrMo high strength steel, an artificial neural network (ANN) was trained with standard back-propagation

In fact, recursion forms the basis of a whole class of algorithms that learn for themselves, in the form of deep learning neural networks.. Neural networks in gen- eral are

In this work, error back-propagation based neural network is designed in MATLAB for automatic selection of open source software.. The system provides the open

In this research, the accuracy of decision trees (DT) (CART algorithm), artificial neural networks (Levenberg-Marquardt back propagation algorithm) and modified