| 书目名称 | Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diag | | 编辑 | Patricia Melin,Ivette Miramontes,German Prado Arec | | 视频video | | | 概述 | Describes the use of different soft computing techniques and their optimization.Reflects the experimentation carried out, based on the different optimizations using bio-inspired algorithms.Says that t | | 丛书名称 | SpringerBriefs in Applied Sciences and Technology | | 图书封面 |  | | 描述 | This book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The proposed method provides a precise and timely diagnosis of the risk that a person has to develop a particular disease, but it can be adaptable to provide the diagnosis of different diseases.. .This book reflects the experimentation that was carried out, based on the different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and others). In particular, the optimizations were carried out to design the fuzzy classifiers of the nocturnal blood pressure profile and heart rate level. In addition, to obtain the architecture that provides the best result, the neurons and the number of neurons per layers of the artificial neural networks used in the model are optimized. Furthermore, different tests were carried out with the complete optimized model.. .Another work that is presented in this book is the dynamic parameter adaptation of the bird swarm algorithm using fuzzy inference systems, with the aim of improving its performance. For this, different experiments are carried out | | 出版日期 | Book 2022 | | 关键词 | Computational Intelligence; Soft Computing; Hybrid Systems; Nature-inspired Optimization; Type-2 Fuzzy N | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-82219-4 | | isbn_softcover | 978-3-030-82218-7 | | isbn_ebook | 978-3-030-82219-4Series ISSN 2191-530X Series E-ISSN 2191-5318 | | issn_series | 2191-530X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:14:26
