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Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classif...

Description: Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis, Paperback by Melin, Patricia; Miramontes, Ivette; Arechiga, German Prado, ISBN 3030822184, ISBN-13 9783030822187, Brand New, Free shipping in the US 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, where mathematical functions and a monolithic neural network are optimized to compare the results obtained with the original algorithm. Th will be of interest for graduate students of engineering and medicine, as well as researchers and professors aiming at proposing and developing new intelligent models for medical diagnosis. In addition, it also will be of interest for people working on metaheuristic algorithms and their applications on medicine.

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Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classif...

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Book Title: Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models

Number of Pages: VIII, 127 Pages

Language: English

Publication Name: Nature-Inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

Publisher: Springer International Publishing A&G

Subject: Engineering (General), Intelligence (Ai) & Semantics, Biomedical

Publication Year: 2021

Type: Textbook

Item Weight: 7.8 Oz

Subject Area: Computers, Technology & Engineering

Author: Ivette Miramontes, German Prado Arechiga, Patricia Melin

Item Length: 9.3 in

Series: Springerbriefs in Applied Sciences and Technology Ser.

Item Width: 6.1 in

Format: Trade Paperback

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