Description: Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Patricia Melin, Ivette Miramontes, German Prado Arechiga Format: Paperback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030822187, 978-3030822187 Synopsis 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. The book 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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Book Title: Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Mod...
Number of Pages: 127 Pages
Language: English
Publication Name: Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis
Publisher: Springer Nature Switzerland A&G
Publication Year: 2021
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 221 g
Type: Textbook
Author: Patricia Melin, Ivette Miramontes, German Prado Arechiga
Series: Springerbriefs in Computational Intelligence
Item Width: 155 mm
Format: Paperback
