FAST AUTOMATIC CONFIGURATION OF ARTIFICIAL NEURAL NETWORKS USED FOR BINARY PATTERNS RECOGNITION

This paper prcsents a powcrful method of an automatically generated architccturc of ncural networks uscd for binary pattems rccognition, which can quickly and automatically rcducc synapses in a way of minimally reducing a quality of rccognition and a quality of generalization. Moreovcr, this method computes all weights in two runs over a leaming sequence, what makes this method vcry fast. First, the method calculatcs all binary featureś for each pattem and then weights are computcd. Furthcrmore, there is a quality of generalization considered because it is one o f the most important factors o f recognition whilc using neural networks

AUTOMATIC CONTEXTUAL TEXT CORRECTION USING THE LINGUISTIC HABITS GRAPH LHG

Automatic text correction is an essential problem of today text processors and editors. Thispaper introduces a novel algorithm for automation of contextual text correction using a LinguisticHabit Graph (LHG) also introduced in this paper. A specialist internet crawler hasbeen constructed for searching through web sites in order to build a Linguistic Habit Graphafter text corpuses gathered in polish web sites. The achieved correction results on a basis ofthis algorithm using this LHG were compared with commercial programs which also enableto make text correction: Microsoft Word 2007, Open Office Writer 3.0 and search engineGoogle. The achieved results of text correction were much better than correction made bythese commercial tools

Negocjacje : sprawdzone strategie

Na okładce: «Osiągnij sukces negocjacyjny w życiu zawodowym i osobistym!» [oraz] «Zostań mistrzem negocjacji».Wyd. 1192 str. : ilustracjeWarszawahttp://www.nukat.edu.pl/nukat/icov/WALAZ/xx002685217.jpghttp://www.nukat.edu.pl/nukat/icov/WALAZ/xx002685217.pdfpodręcznikwersja wydawnicz

Sztuczne systemy skojarzeniowe i asocjacyjna sztuczna inteligencja

Bibliogr. s. 270-277.Streszcz. również w jęz. ang.277 str. : il. (w tym kolor.)Warszawahttp://www.nukat.edu.pl/nukat/icov/GD015/xx002867337.jpgpodręcznikwersja wydawnicz