Искусственный интелект. Экспертные системы

Список источников > Нехудожественная литература > Компьютерная литература > Базы данных > Искусственный интеллект > Искусственный интелект. Экспертные системы

Statistical and Neural Classifiers
Автор: Sarunas Raudys
Год: [не указано]
Издание: [не указанo]
Страниц: [не указано]
ISBN: 1852332972
This book provides an introduction to how neural network classifiers work and how they can be used to optimal effect, including pattern classification and neural algorithms.
Добавлено: 2013-10-22 15:56:21

Похожие книги

Источник: Sarunas Raudys, Statistical and Neural Classifiers Sarunas RaudysStatistical and Neural Classifiers Источник: Menahem Friedman, Abraham Kandel, Introduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence) Menahem Friedman, Abraham KandelIntroduction to Pattern Recognition : Statistical, Structural, Neural and Fuzzy Logic Approaches (Series in Machine Perception and Artificial Intelligence) Источник: QingXiang Wu, Computing Network Model for Intelligent Systems: Hybrid of neural networks, multi-knowledge, fuzzy logic, rough set, and Bayesian classifier QingXiang WuComputing Network Model for Intelligent Systems: Hybrid of neural networks, multi-knowledge, fuzzy logic, rough set, and Bayesian classifier

Видео о книгах: