EurekAlert!

Deep neural networks enable accurate pricing of American options under stochastic volatility

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...
IEEE

An Efficient RBF Neural Network-Based Method for Defending Against Collusive Interest Flooding Attacks in Named Data Networks

Abstract: Named data networks (NDNs), as one of the standards for information center networks (ICNs), have attracted substantial attention in recent years due to their efficient forwarding mechanisms.
Scientific Research Publishing

Buhmann, M.D. (2003) Radial Basis Functions. Cambridge University Press.

ABSTRACT: We solve numerically an eigenvalue elliptic partial differential equation (PDE) ranging from two to six dimensions using the generalized multiquadric (GMQ) radial basis functions (RBFs). Two ...
IEEE

RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection

Abstract: Neural architecture search (NAS) is an automated technique to design optimal neural network architectures for a specific workload. Conventionally, evaluating candidate networks in NAS ...
EurekAlert!

Decoding the neural basis of affective empathy: how the brain feels others' pain

Experimental setup for observational fear testing and calcium imaging in observer mice. The observer mouse witnesses the demonstrator mouse receiving electric shocks, enabling the assessment of ...
Frontiers

Tracking control strategy of tendon driven robotic arm under adaptive neural network

With the rapid optimization and evolution of various neural networks, the control problem of robotic arms in the area of automation control has gradually received more attention. The research results ...