TASS

Russia develops neural network algorithms for low-level air defense anti-drone system

The Arkodim company specified that the neural network analysis and tracking algorithms calculate ballistics and ensure reliable target tracking even during brief loss of visual contact MOSCOW, May 12.
MarketWatch

AMC Networks Chief Accounting Officer to Assume CFO Duties on Interim Basis

AMC Networks said Chief Accounting Officer Michael Sherin III will assume the responsibilities of chief financial officer on an interim basis. The expansion of Sherin's role comes after former CFO ...
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.
HUB

Neural basis of schizophrenia and bipolar disorder found in brain organoids

Pea-sized brains grown in a lab have for the first time revealed the unique way neurons might misfire due to schizophrenia and bipolar disorder, psychiatric ailments that affect millions of people ...
Scientific Research Publishing

Leshno, M., Lin, V.Y., Pinkus, A. and Schocken, S. (1993) Multilayer Feedforward Networks with a Nonpolynomial Activation Function Can Approximate Any Function. Neural Networks ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
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 ...
IEEE

A new GA-based RBF neural network with optimal selection clustering algorithm for SINS fault diagnosis

Abstract: In this paper, a new adaptive genetic algorithm (GA)-based radial basis function (RBF) neural network with optimal selection clustering algorithm (OSCA) is proposed for the fault diagnosis ...