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Titlebook: Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diag; Patricia Melin,Ivette Miramontes,Ger

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發(fā)表于 2025-3-21 19:14:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diag
編輯Patricia Melin,Ivette Miramontes,German Prado Arec
視頻videohttp://file.papertrans.cn/663/662085/662085.mp4
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
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diag;  Patricia Melin,Ivette Miramontes,Ger
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
關(guān)鍵詞Computational Intelligence; Soft Computing; Hybrid Systems; Nature-inspired Optimization; Type-2 Fuzzy N
版次1
doihttps://doi.org/10.1007/978-3-030-82219-4
isbn_softcover978-3-030-82218-7
isbn_ebook978-3-030-82219-4Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-22 00:15:56 | 只看該作者
978-3-030-82218-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-22 03:18:07 | 只看該作者
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發(fā)表于 2025-3-22 07:07:28 | 只看該作者
Introduction to Soft Computing Applied in Medicine,Currently, hypertension represents a huge public health problem worldwide. Investigations have determined that 10.4 million people die each year from this condition.
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發(fā)表于 2025-3-22 11:56:44 | 只看該作者
Proposed Model to Obtain the Medical Diagnosis,In this chapter, it is explained how the neuro-fuzzy hybrid model was created to obtain the risk diagnosis of developing hypertension, which describes in detail how each of the soft computing techniques was used, and also how the used database was generated.
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發(fā)表于 2025-3-22 16:03:20 | 只看該作者
Study Cases to Test the Optimization Performed in the Hybrid Model,In this chapter, each of the optimizations made to the proposed model is described and comparisons of the different algorithms used for the mentioned optimizations are made to analyze the performance of each one and determine with which one a better result is obtained, and these experiments are organized as study cases.
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發(fā)表于 2025-3-22 23:28:15 | 只看該作者
Theory of Soft Computing and Medical Terms,ing techniques used, as well as explaining the metaheuristics used to perform the optimization. In addition to defining important medical concepts, such as blood pressure and hypertension, which are concepts that envelop this research.
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發(fā)表于 2025-3-23 02:07:31 | 只看該作者
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/n/image/662085.jpg
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https://doi.org/10.1007/978-3-030-82219-4Computational Intelligence; Soft Computing; Hybrid Systems; Nature-inspired Optimization; Type-2 Fuzzy N
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