Search Result "backpropagation network"
Screening and Analysis of Skin Cancer Treatment Using Biocomponents of Plants Using Backpropagation Neural Networks: A Comprehensive Review
Journal: Current Cancer Therapy Reviews
Volume: 20 Issue: 6 Year: 2024 Page: 555-568
Author(s): Jeetendra Kumar Gupta
Neural Network
Ebook: Introduction to Machine Learning with Python
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124422123010008
Improvement of Prediction of Mutation Positions in H5N1 Hemagglutinins of Influenza A Virus Using Neural Network with Distinguishing of Arginine, Leucine and Serine
Journal: Protein & Peptide Letters
Volume: 14 Issue: 5 Year: 2007 Page: 465-470
Author(s): Guang Wu, Shaomin Yan
Prediction of Optimal pH and Temperature of Cellulases Using Neural Network
Journal: Protein & Peptide Letters
Volume: 19 Issue: 1 Year: 2012 Page: 29-39
Author(s): Shao-Min Yan, Guang Wu
A Mathematical Description of Artificial Neural Networks
Ebook: Artificial Intelligence: Models, Algorithms and Applications
Volume: 1 Year: 2021
Author(s): Hans Birger Drange
Doi: 10.2174/9781681088266121010010
Prediction of Michaelis-Menten Constant of Beta-Glucosidases Using Nitrophenyl-beta-D-Glucopyranoside as Substrate
Journal: Protein & Peptide Letters
Volume: 18 Issue: 1 Year: 2011 Page: 1053-1057
Author(s): Shaomin Yan, Guang Wu
Neural Networks
Ebook: Artificial Neural Systems: Principle and Practice
Volume: 1 Year: 2015
Author(s): Pierre Lorrentz
Doi: 10.2174/9781681080901115010009
Hybrid Canonical-Correlation Neural-Network Approach Applied to Nonnucleoside HIV-1 Reverse Transcriptase Inhibitors (HEPT Derivatives)
Journal: Current Medicinal Chemistry
Volume: 10 Issue: 1 Year: 2003 Page: 1643-1659
Author(s): Peter P. Mager
Neural Network Models for Feature Extraction and Empirical Thresholding
Ebook: AI in the Social and Business World: A Comprehensive Approach
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815256864124010011
Artificial Neural Networks Approach for Cross-Flow Heat Exchanger Fouling Modeling
Ebook: Mechanical Engineering Technologies and Applications
Volume: 3 Year: 2023
Author(s):
Doi: 10.2174/9789815179279123030007