IEEE

Using Radial Basis Function Neural Network With Weight Memory Mechanism: Nonlinear System Identification

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...
SciTech Daily

Scientists Discover Neural Basis of Schizophrenia and Bipolar Disorder

Tiny engineered brain models reveal that psychiatric disorders may arise from distinctive disruptions in neural communication rather than obvious structural damage. Credit: SciTechDaily.com Using ...
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Neural network cost functions explained & how to choose

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...
IEEE

Neural Network Models for Predicting Magnetization Surface Switched Reluctance Motor: Classical, Radial Basis Function, and Physics-Informed Techniques

Abstract: Neural networks have increasingly been utilized in electric drive systems to enhance modeling, control, and optimization. These data-driven techniques enable accurate predictions of complex ...