Nature inspired Optimization of Type 2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

Written By Patricia Melin
Nature inspired Optimization of Type 2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis
  • Publsiher : Springer Nature
  • Release : 04 October 2022
  • ISBN : 3030822192
  • Pages : 134 pages
  • Rating : 4/5 from 21 reviews
GET THIS BOOKNature inspired Optimization of Type 2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis


Read or download book entitled Nature inspired Optimization of Type 2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis written by Patricia Melin which was release on 04 October 2022, this book published by Springer Nature. Available in PDF, EPUB and Kindle Format. Book excerpt: 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.

Nature inspired Optimization of Type 2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

Nature inspired Optimization of Type 2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis
  • Author : Patricia Melin,Ivette Miramontes,German Prado Arechiga
  • Publisher : Springer Nature
  • Release Date : 2021
  • Total pages : 134
  • ISBN : 3030822192
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Summary : 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 ...

Nature inspired Optimization of Type 2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

Nature inspired Optimization of Type 2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis
  • Author : Patricia Melin,Ivette Miramontes,German Prado Arechiga
  • Publisher : Springer
  • Release Date : 2021-08-07
  • Total pages : 127
  • ISBN : 3030822192
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Summary : 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 ...

Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis

Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis
  • Author : Patricia Melin,Juan Carlos Guzmán,German Prado-Arechiga
  • Publisher : Springer Nature
  • Release Date : 2020-11-28
  • Total pages : 103
  • ISBN : 3030822192
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Summary : This book is focused on the use of intelligent techniques, such as fuzzy logic, neural networks and bio-inspired algorithms, and their application in medical diagnosis. The main idea is that the proposed method may be able to adapt to medical diagnosis problems in different possible areas of the medicine and ...

Intuitionistic and Type 2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms Theory and Applications

Intuitionistic and Type 2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms  Theory and Applications
  • Author : Oscar Castillo,Patricia Melin,Janusz Kacprzyk
  • Publisher : Springer Nature
  • Release Date : 2020-02-27
  • Total pages : 792
  • ISBN : 3030822192
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Summary : This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent ...

New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic Neural Networks and Metaheuristics

New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic  Neural Networks and Metaheuristics
  • Author : Oscar Castillo,Patricia Melin
  • Publisher : Springer Nature
  • Release Date : 2022-11-01
  • Total pages : 471
  • ISBN : 3030822192
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Summary : In this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are applied to areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book ...

Handbook of Research on Modeling Analysis and Application of Nature Inspired Metaheuristic Algorithms

Handbook of Research on Modeling  Analysis  and Application of Nature Inspired Metaheuristic Algorithms
  • Author : Dash, Sujata,Tripathy, B.K.,Rahman, Atta ur
  • Publisher : IGI Global
  • Release Date : 2017-08-10
  • Total pages : 538
  • ISBN : 3030822192
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Summary : The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly ...

Soft Computing Based Nonlinear Control Systems Design

Soft Computing Based Nonlinear Control Systems Design
  • Author : Singh, Uday Pratap,Tiwari, Akhilesh,Singh, Rajeev Kumar
  • Publisher : IGI Global
  • Release Date : 2018-02-09
  • Total pages : 388
  • ISBN : 3030822192
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Summary : A critical part of ensuring that systems are advancing alongside technology without complications is problem solving. Practical applications of problem-solving theories can model conflict and cooperation and aid in creating solutions to real-world problems. Soft-Computing-Based Nonlinear Control Systems Design is a critical scholarly publication that examines the practical applications of ...