Hierarchical Neural Network Structures for Phoneme Recognition, Daniel Vasquez; Rainer Gruhn; Wolfgang Minker
Автор: Hing Kai Chan; Xiaojun Wang Название: Fuzzy Hierarchical Model for Risk Assessment ISBN: 1447150422 ISBN-13(EAN): 9781447150428 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a fuzzy-based hierarchical approach to risk management problems, tackling imprecise information with qualitative and quantitative criteria. Uses case studies from the food, fashion and electronics sectors on supply chain management and more.
Автор: Daniela Sanchez; Patricia Melin Название: Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation ISBN: 331928861X ISBN-13(EAN): 9783319288611 Издательство: Springer Рейтинг: Цена: 60940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The techniquesused and combined in the proposed method are modular neural networks (MNNs)with a Granular Computing (GrC) approach, thus resulting in a new concept ofMNNs;
Автор: Leticia Cervantes; Oscar Castillo Название: Hierarchical Type-2 Fuzzy Aggregation of Fuzzy Controllers ISBN: 3319266705 ISBN-13(EAN): 9783319266701 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Whenfuzzy logic is used it make it easy to performed the simulations, these fuzzysystems help to model the behavior of a real systems, using the fuzzysystems fuzzy rules are generated and with this can generate the behavior ofany variable depending on the inputs and linguistic value.
Автор: Mousmita Sarma; Kandarpa Kumar Sarma Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework ISBN: 8132218612 ISBN-13(EAN): 9788132218616 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.
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