DESIGN OF GENERATION SYSTEM BASED ON ARTIFICIAL INTELLIGENCE ALGORITHM. PART 1

The development of modern tools and methods artificial intelligent provides a wide range functionality for various scientific applied tasks, also allows obtaining new results. A question arises about how to apply elements intelligence obtain combinations connections obtained by generation. As purpose the article is considered applying neural network technology formation new, unique recipes cocktails with aim demonstrating effectiveness implementation verification models intelligence. To solve generation problems according ingredient recipes, in all stages technological process are analyzed from data collection, analysis, preprocessing selection mathematical algorithm modeling trained system. Each stage work contains separate description steps necessary task. machine learning has ability thousands examples find certain pattern ingredients. And important attention paid training date.
 At individuals main considered, which checked during parser. part partial use encrypted technologies when using Internet resources reading DOM tree code HTML page. paper shows settings automated information collection. For parser development, tool rapid project effective management as Docker Compose add-ons were used. Completed acquisition set been analyzed. consists preprocessing, decoding compositions collected relevant tables. During collection process, significant noise redundant processed. Considerable cleaning preparation useful information, because purity their completeness most cases determine quality model finding laws