When minds align: A neural basis for flocking

When animals move together in flocks, herds, or schools, neural dynamics in their brain become synchronized through shared ways of representing space, a new study by researchers from the University of ...
AZoBuild

New Study Uses Fuzzy Logic to Accurately Predict Hardness in High-Performance Concrete

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...
Frontiers

Frontiers in neuro-rehabilitation: neural basis of cognitive contributions to movement across neurological populations

1 Movement Analysis and Robotics Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Italy 2 Movement Analysis and Robotics Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS ...
Hosted on MSN

What Is An Activation Function In A Neural Network? (Types Explained Simply)

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks ...
Hosted on MSN

Cost Functions In Neural Networks Explained – Which One Should You Use And Why?

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

Nonlinear function approximation using radial basis function neural networks

Abstract: Radial basis function neural networks (RBFNN) which are best suited for nonlinear function approximation, have been successfully applied to a wide range of areas including system modeling.
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 ...
Scientific Research Publishing

Rawat, A., Yadav, R.N. and Shrivastava, S.C. (2013) Neural Modeling of Antenna Array Using Radial Basis Neural Network for Directivity Prediction. International Journal of ...

ABSTRACT: With the advent of the 5G and future 6G, base stations will be used as station controllers. The antenna systems are networked and equipped with a processor to optimize the detection of ...
Scientific Research Publishing

Rawat, A., Yadav, R.N. and Shirivastava, S.C. (2013) Neural Modeling of Antenna Array Using Radial Basis Neural Network for Directivity Prediction. International Journal of ...

ABSTRACT: Ahead of the Internet of Things and the emergence of big data, the interest of research is today focused on radio access and the process of optimizing it or increasing its capacity and ...