Development of Cross-Platform Cognitive Tools Invariant to Problem Areas and their Integration into Intelligent Systems / A. E. Yankovskaya, A. Yamshanov

Уровень набора: (RuTPU)RU\TPU\network\11477, Key Engineering Materials, Scientific JournalОсновной Автор-лицо: Yankovskaya, A. E., specialist in the field of electrical engineering, Professor of Tomsk Polytechnic University, doctor of technical Sciences, 1939-, Anna EfimovnaАльтернативный автор-лицо: Yamshanov, A., ArtyomКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Энергетический институт (ЭНИН), Кафедра электропривода и электрооборудования (ЭПЭО)Язык: английский.Серия: Elaboration and Simulation of Processes in Materials ScienceРезюме или реферат: Nowadays application and development of cognitive graphic tools for the usage in intelligent system of data and knowledge analysis, decision-making and its justification for different problem areas including material research are urgency. Most significantly developed cognitive graphics tools based on n-simplex which are invariant to problem areas are presented. Specificity of program realization of cognitive graphics tools which is invariant to problem areas is described. Most significant results are given and discussed. Future investigations are connected with the usage of new approach to rendering, cross-platform realization, improving cognitive features and expanding n-simplex family..Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | интеллектуальные системы | графические инструменты | когнитивная графика | визуализация Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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Nowadays application and development of cognitive graphic tools for the usage in intelligent system of data and knowledge analysis, decision-making and its justification for different problem areas including material research are urgency. Most significantly developed cognitive graphics tools based on n-simplex which are invariant to problem areas are presented. Specificity of program realization of cognitive graphics tools which is invariant to problem areas is described. Most significant results are given and discussed. Future investigations are connected with the usage of new approach to rendering, cross-platform realization, improving cognitive features and expanding n-simplex family.

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