Hosted on MSN

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 ...
Frontiers

Intelligent forecasting model for aquatic production based on artificial neural network

Aquaculture is recognized as a critical component of global food security and economic development, playing an indispensable role in meeting nutritional needs and supporting livelihoods worldwide.
IEEE

Improving the Accuracy of Eccentric Magnetic Absolute Encoders Using Radial Basis Function Neural Network and Third-Order PLL

Abstract: In this study, in order to improve the accuracy of eccentric magnetic absolute encoders (EMAE), an angle calculation method that combines radial basis function neural networks (RBFNN) and ...
PNAS

Neural basis for individual differences in the attention-enhancing effects of methylphenidate

Stimulant medications like methylphenidate boost circulating dopamine levels and are effective treatments for attention-deficit hyperactivity disorder (ADHD), but they do not work for everyone. Here, ...
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 ...
JSTOR Daily

Multiple parameters and target optimization of splitter blades for axial spiral blade blood pump using computational fluid mechanics, neural networks, and particle image ...

The blood pump is an implantable device with strict performance requirements. Any effective structural improvement will help to improve the treatment of patients. However, the research of blood pump ...
Frontiers

Intelligent vehicle lateral tracking algorithm based on neural network predictive control

Introduction: Intelligent vehicles and autonomous driving have been the focus of research in the field of transport, but current autonomous driving models have significant errors in lateral tracking ...
GitHub

Add Radial Basis Function Neural Network (RBFNN)

Radial Basis Function Neural Networks (RBFNNs) are a type of neural network that combines elements of clustering and function approximation, making them powerful for both regression and classification ...