Results 171 to 180 of about 59,339 (255)

RBF neural networks for pattern classification

, 2011
Radial basis function neural networks (RBF neural networks), as an alternative to multilayer perceptions, have been found to be very advantageous to pattern recognition, machine learning and artificial intelligence. This thesis addresses the problem of RBF neural networks for pattern classification. Master of Science (Computer Control and Automation)
openaire   +1 more source

Machine Learning Prediction of Laccase‐Catalyzed Oxidation of Aromatic Compounds Using Curated Enzyme‐Specific Datasets

Journal of Computational Chemistry, Volume 47, Issue 7, March 15, 2026.
We curate laccase‐substrate datasets and train five classifiers, from regularized logistic regression to tree‐based models and ChemBERTa, to predict whether a substrate will be oxidized. Feature importance and attention maps projected onto molecular substructures make the predictions interpretable and useful for pre‐screening before the bench ...
Yulia Kulagina, Christian Goldhahn, Ramon Weishaupt, Mark Schubert   +3 more
wiley   +1 more source

RBF Neural Network-Aided Robust Adaptive GNSS/INS Integrated Navigation Algorithm in Urban Environments. [PDF]

Sensors (Basel)
Wang J, Li R, Tu R, Zhang G, Hong J, Li F.   +5 more
europepmc   +1 more source

Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.

Comput Math Methods Med, 2021
Cai XW, Bao YQ, Hu MF, Liu JB, Zhu JM.
europepmc   +1 more source

Development and performance evaluation of variable width raised bed former with optimal parameters predicted by RBF neural network-PSO technique. [PDF]

Sci Rep
Sawant CP, Gaikwad BB, Magar AP, Khadatkar A, Kumar N, Rao KVR, Chaudhary VP.   +6 more
europepmc   +1 more source

Optimization of cable tension in large-span cable-stayed bridges based on RBF neural network and improved sea-gull algorithm. [PDF]

Sci Rep
Zhao D, Wang H, Yu M.
europepmc   +1 more source

Global Fast Terminal Fuzzy Sliding Mode Control of Quadrotor UAV Based on RBF Neural Network. [PDF]

Sensors (Basel)
Chen W, Ding Y, Weng F, Liang C, Li J.
europepmc   +1 more source

Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation.

Comput Intell Neurosci, 2021
Guo F, Huang Q.
europepmc   +1 more source

Grain storage temperature prediction based on chaos and enhanced RBF neural network. [PDF]

Sci Rep
Sun F, Gong C, Lyu Z.
europepmc   +1 more source

The Evaluation and Prediction of Flame Retardancy of Asphalt Mixture Based on PCA-RBF Neural Network Model. [PDF]

Materials (Basel)
Yin P, Wang H, Tan Y.
europepmc   +1 more source