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Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis
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 help to have an improvement in diagnosis accuracy considering a clinical monitoring of …
- Edition
- 1
- ISBN/ISSN
- 978-3-030-60481-3
- Collation
- ix, 103p.:Ill
- Series Title
- SpringerBriefs in Applied Sciences and Technology
- Call Number
- 610.285 63 Mel n
Recent Advances on Hybrid Approaches for Designing Intelligent Systems
This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization al…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-05170-3
- Collation
- xii, 721.: Ill.
- Series Title
- Studies in Computational Intelligence
- Call Number
- 006.3 Rec
Recent Advances of Hybrid Intelligent Systems Based on Soft Computing
This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on …
- Edition
- 1
- ISBN/ISSN
- 978-3-030-58728-4
- Collation
- viii, 341p.:ill
- Series Title
- -
- Call Number
- 006.3 Rec
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