Arrhythmia Detection Using a Taguchi-based Convolutional Neuro-fuzzy Network
نویسندگان
چکیده
منابع مشابه
EMG-based wrist gesture recognition using a convolutional neural network
Background: Deep learning has revolutionized artificial intelligence and has transformed many fields. It allows processing high-dimensional data (such as signals or images) without the need for feature engineering. The aim of this research is to develop a deep learning-based system to decode motor intent from electromyogram (EMG) signals. Methods: A myoelectric system based on convolutional ne...
متن کاملDouble-Star Detection Using Convolutional Neural Network in Atmospheric Turbulence
In this paper, we investigate the usage of machine learning in the detection and recognition of double stars. To do this, numerous images including one star and double stars are simulated. Then, 100 terms of Zernike expansion with random coefficients are considered as aberrations to impose on the aforementioned images. Also, a telescope with a specific aperture is simulated. In this work, two k...
متن کاملNeuro-fuzzy Based Intrusion Detection Systems for Network Security
Computer networks are more vulnerable to insider and outsider attacks in recent days due to its widespread use in each field. For that aspect, numbers of security mechanism have been applied to minimize the effect of possible attacks in the network. One of very appealing concept towards network security is intrusion detection system that can able to identify the difference between normal and ab...
متن کاملNeuro-fuzzy Based Clustering of Intrusion Detection in Combined Network
The partition based k-means cluster used to group anomaly traffic data aggregates, form the cluster with distance measure as the parameter of normal and anomaly clusters. However frequent variation on the data propagation change the value of the traffic data packets influenced by scrupulous nodes polluting the normal data packets. The dynamic and frequent changes of the propagation data, genera...
متن کاملIntelligent control using a neuro-fuzzy network
Intelligent control techniques have emerged to overcome some deeciencies in conventional control methods in dealing with complex real-world systems. These problems include knowledge adaptation, learning, and expert knowledge incorporation. In this paper, a hybrid network that combines fuzzy inferencing and neu-ral networks is used to model and to control complex dynamic systems. The network tak...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors and Materials
سال: 2022
ISSN: ['0914-4935', '2435-0869']
DOI: https://doi.org/10.18494/sam3924