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Adaptive Neuro-Fuzzy Inference (ANFIS) Applications to PCP-Based NMDA Receptor Antagonists
Date
2005-05-10
Author
Büyükbingöl, Mehmet Erdem
Şişman Yılmaz, Arzu
Alpaslan, Ferda Nur
Adejare, Adaboye
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https://hdl.handle.net/11511/77896
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Adaptive neuro-fuzzy inference system (ANFIS): A new approach to predictive modeling in QSAR applications: A study of neuro-fuzzy modeling of PCP-based NMDA receptor antagonists
Buyukbingol, Erdem; Sisman, Arzu; Akyıldız, Murat; Alpaslan, Ferda Nur; Adejare, Adeboye (Elsevier BV, 2007-06-15)
This paper proposes a new method, Adaptive Neuro-Fuzzy Inference System (ANFIS) to evaluate physicochemical descriptors of certain chemical compounds for their appropriate biological activities in terms of QSAR models with the aid of artificial neural network (ANN) approach combined with the principle of fuzzy logic. The ANFIS was utilized to predict NMDA (N-methyl-D-Aspartate) receptor binding activities of phencyclidine (PCP) derivatives. A data set of 38 drug-like compounds was coded with 1244 calculated...
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Neuro-Fuzzy systems are the systems that neural networks (NN) are incorporated in fuzzy systems, which can use knowledge automatically by learning algorithms of NNs. They can be viewed as a mixture of local experts. Adaptive Neuro-Fuzzy inference system (ANFIS) is one of the examples of Neuro Fuzzy systems in which a fuzzy system is implemented in the framework of adaptive networks. ANFIS constructs an input-output mapping based both on human knowledge (in the form of fuzzy rules) and on generated input-out...
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Data imbalance is known to significantly hinder the generalization performance of supervised learning algorithms. A common strategy to overcome this challenge is synthetic oversampling, where synthetic minority class examples are generated to balance the distribution between the examples of the majority and minority classes. We present a novel adaptive oversampling algorithm, Virtual, that combines the benefits of oversampling and active learning. Unlike traditional resampling methods which require preproce...
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M. E. Büyükbingöl, A. Şişman Yılmaz, F. N. Alpaslan, and A. Adejare, “Adaptive Neuro-Fuzzy Inference (ANFIS) Applications to PCP-Based NMDA Receptor Antagonists,” 2005, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/77896.