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標題: Titlebook: New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension; Patricia Melin,German Prado-Arechiga Book 2018 [打印本頁]

作者: Flange    時間: 2025-3-21 16:44
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作者: CHAFE    時間: 2025-3-21 23:11

作者: 得罪    時間: 2025-3-22 03:57
Fuzzy Logic for Arterial Hypertension Classification,ameters include Systolic Blood Pressure and Diastolic Blood Pressure. Secondly, we have as an output parameter: Blood Pressure Levels (BPL). The input linguistic values include Low, Normal Low, Normal, Normal High, High, Very High, Too High and Isolated Systolic Hypertension. Finally, we have 14 fuzzy rules to determine out diagnosis.
作者: Flagging    時間: 2025-3-22 07:24
Design of a Neuro-Fuzzy System for Diagnosis of Arterial Hypertension,nt patients. The fuzzy expert system is based on a set of inputs and rules. The input variables for this system are the systolic and diastolic pressures and the output variable is the blood pressures level. It is expected that this proposed neuro-fuzzy hybrid model can provide a faster, cheaper and more accurate result.
作者: 占卜者    時間: 2025-3-22 09:04
Book 2018than without optimization. This book is intended to be a refer-ence for scientists and physicians interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also in general to classification and pattern recognition and similar problems.
作者: Peristalsis    時間: 2025-3-22 16:15

作者: 背景    時間: 2025-3-22 17:48
Conclusions,portance of developing new methods using Computational Intelligence for application in medicine, particularly in the area of cardiology to diagnose cardiovascular diseases. In this particular case to help medical doctors diagnose, classify and determine the possible risk of developing high blood pressure.
作者: Abduct    時間: 2025-3-22 23:10

作者: wreathe    時間: 2025-3-23 05:23
Book 2018intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are combined using fuzzy logic. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters.
作者: STALL    時間: 2025-3-23 05:57
2191-530X sicians interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also in general to classification and pattern recognition and similar problems.978-3-319-61148-8978-3-319-61149-5Series ISSN 2191-530X Series E-ISSN 2191-5318
作者: 取回    時間: 2025-3-23 12:34

作者: Atrium    時間: 2025-3-23 17:37
Patricia Melin,German Prado-Arechigadied CAMs, and this book is the first attempt to collectively summarize our current knowledge of this important cell adhesion molecule..978-1-4614-2545-8978-1-4419-1170-4Series ISSN 0065-2598 Series E-ISSN 2214-8019
作者: 共同確定為確    時間: 2025-3-23 18:17
Patricia Melin,German Prado-Arechigadied CAMs, and this book is the first attempt to collectively summarize our current knowledge of this important cell adhesion molecule..978-1-4614-2545-8978-1-4419-1170-4Series ISSN 0065-2598 Series E-ISSN 2214-8019
作者: Fallibility    時間: 2025-3-24 01:11

作者: progestin    時間: 2025-3-24 04:20
Patricia Melin,German Prado-Arechigadied CAMs, and this book is the first attempt to collectively summarize our current knowledge of this important cell adhesion molecule..978-1-4614-2545-8978-1-4419-1170-4Series ISSN 0065-2598 Series E-ISSN 2214-8019
作者: Osteons    時間: 2025-3-24 06:47

作者: Melanoma    時間: 2025-3-24 12:31
Patricia Melin,German Prado-Arechigadied CAMs, and this book is the first attempt to collectively summarize our current knowledge of this important cell adhesion molecule..978-1-4614-2545-8978-1-4419-1170-4Series ISSN 0065-2598 Series E-ISSN 2214-8019
作者: jaundiced    時間: 2025-3-24 15:58
Patricia Melin,German Prado-Arechigadied CAMs, and this book is the first attempt to collectively summarize our current knowledge of this important cell adhesion molecule..978-1-4614-2545-8978-1-4419-1170-4Series ISSN 0065-2598 Series E-ISSN 2214-8019
作者: Infirm    時間: 2025-3-24 22:44

作者: Urea508    時間: 2025-3-25 03:06
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension
作者: pulmonary-edema    時間: 2025-3-25 05:39

作者: 整理    時間: 2025-3-25 10:29

作者: EXULT    時間: 2025-3-25 14:08

作者: avarice    時間: 2025-3-25 17:28
Patricia Melin,German Prado-ArechigaPresents a new approach for diagnosis and risk evaluation of arterial hypertension.Demonstrates the implementation of the approach as a hybrid intelligent system combining modular neural networks and
作者: 新字    時間: 2025-3-25 23:41
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension978-3-319-61149-5Series ISSN 2191-530X Series E-ISSN 2191-5318
作者: disciplined    時間: 2025-3-26 01:28
Introduction,mbining Modular Neural Networks, Fuzzy Logic and Genetic Algorithms. We focused on the development of hybrid intelligent systems; for classification of blood pressure levels using the experience of cardiologists and the guidelines of European Society of Cardiology, and for constructing a fuzzy logic
作者: 指派    時間: 2025-3-26 07:00
Fuzzy Logic for Arterial Hypertension Classification,tcomes, such as heart attack, stroke and renal failure. The HBP seriously threats the health of people worldwide. One of the dangerous aspects is that people may not know that they have it. In fact, nearly one-third of people who have high blood pressure don’t know it. The only way to know if the bl
作者: 極大的痛苦    時間: 2025-3-26 11:03

作者: 后退    時間: 2025-3-26 14:45
Neuro-Fuzzy Modular Approaches for Classification of Arterial Hypertension with a Method for the Ex as: neural networks, fuzzy logic and evolutionary computation, in the last technique genetic algorithms (GAs) are used. The objective is to model the behavior of blood pressure based on monitoring data of 24?h per patient and to obtain the trend, which is classified using a fuzzy system based on ru
作者: Nebulizer    時間: 2025-3-26 17:31
Design of Modular Neural Network for Arterial Hypertension Diagnosis,sts of a modular neural network and its response with average integration. The proposed approach consists on applying these methods to find the best architecture of the modular neural network and the lowest prediction error. Simulations results show that the modular network produces a good diagnosti
作者: neoplasm    時間: 2025-3-26 23:38
Intelligent System for Risk Estimation of Arterial Hypertension,blems. Nowadays Cardiovascular Diseases, like arterial hypertension (high blood pressure) has a high prevalence in the world population. They are the number one cause of mortality in Mexico, and that is why the HBP is called a silent killer because it often has no symptoms. We design in this researc
作者: 愚笨    時間: 2025-3-27 03:05
Conclusions,id intelligent systems, combining Modular Neural Networks, Fuzzy Logic and Genetic Algorithms. The motivation of this research work is based on the importance of developing new methods using Computational Intelligence for application in medicine, particularly in the area of cardiology to diagnose ca
作者: 粘    時間: 2025-3-27 06:52

作者: 用手捏    時間: 2025-3-27 11:49

作者: Antioxidant    時間: 2025-3-27 14:51

作者: Accede    時間: 2025-3-27 21:15
Patricia Melin,German Prado-Arechigaroblast growth factor (FGF) receptor.Chapters are grouped in.Adhesive interactions are important for cell trafficking, differentiation, function and tissue formation. In the nervous system, many cell adhesion molecules (CAMs) are involved in migration of neuroblasts, outgrowth and fasciculation of n
作者: 恃強凌弱    時間: 2025-3-27 22:38

作者: 拍下盜公款    時間: 2025-3-28 03:35
Patricia Melin,German Prado-Arechigaroblast growth factor (FGF) receptor.Chapters are grouped in.Adhesive interactions are important for cell trafficking, differentiation, function and tissue formation. In the nervous system, many cell adhesion molecules (CAMs) are involved in migration of neuroblasts, outgrowth and fasciculation of n
作者: nautical    時間: 2025-3-28 08:04
Patricia Melin,German Prado-Arechigaroblast growth factor (FGF) receptor.Chapters are grouped in.Adhesive interactions are important for cell trafficking, differentiation, function and tissue formation. In the nervous system, many cell adhesion molecules (CAMs) are involved in migration of neuroblasts, outgrowth and fasciculation of n




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