Search Results - (( its application means algorithm ) OR ( some applications learning algorithm ))*
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A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…Moreover, GRBF trained by the new algorithm has an apparent statistical meaning. Experimental results show potentials for real-life applications.…”
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System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)
Published 2005“…Recently, Some Researchers Have Focused On The Applications System Identification. …”
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A comparative study of vibrational response based impact force localization and quantification using different types of neural networks / Wang Yanru
Published 2018“…In addition, ANFIS uses hybrid learning algorithm. It is mixed with least mean square and gradient descent method, which cause many advantages, such as much better learning ability and less computational time. …”
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On some methods of feature engineering useful for craniodental morphometrics of rats, shrews and kangaroos / Aneesha Pillay Balachandran Pillay
Published 2024“…However, this can lead to data redundancy, meaning that the features may contain overlapping information. …”
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Corrosion Inhibition Study Of Carboxymethyl Celluloseionic Liquid Via Electrochemical And Machine Learning Technique
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Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site
Published 2025“…Therefore, this thesis explores and studies public hardhat datasets, deep learning algorithms, power Internet of Things (PIoT), and edge computing to address the above issues. …”
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Fuzzy Soft Set And Fuzzy Soft Expert Set: Some Generalizations And Hypothetical Applications
Published 2024“…To solve the problem with time as parameters and as a generalization of Molodtsov’s soft set we shall introduce the concept of a time-fuzzy soft set (T-FSS), and study some of its properties and basic operations. Namely complement, union, intersection, AND and OR, and we shall elaborate the concept of time in decision making through some hypothetical application problem. …”
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Modelling of clinical risk groups (CRGs) classification using FAM
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Early detection of dengue disease using extreme learning machine
Published 2018“…The back propagation neural network is one of the popular machine learning technique that capable of learning some complex relationship and had been used in many applications. …”
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad
Published 2022“…Estimating the age of the deceased bodies at the forensic scene is also essential in some instances. Traditionally, age estimation is dependent on radiographic examinations, and its application requires human competence. …”
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Multi-Backpropagation network
Published 2002“…The learning mechanism for Neural Network is its learning algorithm. …”
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Three-term backpropagation algorithm for classification problem
Published 2006“…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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Thesis