In this study a new extended Kalman filter (EKF) learning algorithm for feed-forward neural networks (FFN) is used. With the EKF approach, the training of the FFN can be seen as state estimation for a non-linear stationary process. The EKF method gives excellent convergence performances provided that there is enough computer core mem5 ory and that the machine precision is high. Neural networks ...

BACKGROUND Total hip replacement is considered the best option for treatment of displaced intracapsular fractures of the femoral neck (FFN). The size of the femoral head is an important factor that influences the outcome of a total hip arthroplasty (THA): implants with a 28 mm femoral head are more prone to dislocate than implants with a 32 mm head. Obviously, a large head coupled to a polyethy...

Deploying high-performance vision transformer (ViT) models on ubiquitous Internet of Things (IoT) devices to provide high-quality services will revolutionize the way we live, work, and interact with world. Due contradiction between limited resources IoT resource-intensive ViT models, use cloud servers assist model training has become mainstream. However, due larger number parameters floating-po...

BACKGROUND Recent, severe outbreaks of porcine epidemic diarrhea virus (PEDV) in Asia and North America highlight the need for well-validated diagnostic tests for the identification of PEDV infected animals and evaluation of their immune status to this virus. PEDV was first detected in the U.S. in May 2013 and spread rapidly across the country. Some serological assays for PEDV have been previou...

Abstract Energy systems face challenges due to climate change, distributed energy resources, and political agenda, especially distribution system operators (DSOs) responsible for ensuring grid stability. Accurate predictions of the electricity load can help DSOs better plan maintain their grids. The study aims test a systematic data identification selection process forecast Danish residential a...

Let X c pn be an irreducible projective variety defined over the finite field F q. We will say that X satisfies the property F F N (k, q) (Finite Field Nullstellensatz of degree k over F q) if every homogeneous polynomial over F q of degree k on pn vanishing on X (F q) vanishes on X, that is, it vanishes at all points of X defined over the algebraic closure of F q . We study when FFN(k,q) holds...

Abstract For a quasi-regular (symmetric) Dirichlet space (E ,F) and an associated symmetric standard process (Xt, Px), we show that, for u ∈ F , the additive functional u∗(Xt) − u∗(X0) is a semimartingale if and only if there exists an E-nest {Fn} and positive constants Cn such that |E(u, v)| ≤ Cn‖v‖∞, v ∈ FFn,b. In particular, a signed measure resulting from the inequality will be automaticall...

Effects of noises and some other network properties on the weak signal propagation are studied systematically in feedforward acupuncture networks (FFN) based on FitzHugh– Nagumo neuron model. It is found that noises with medium intensity can enhance signal propagation and this effect can be further increased by the feedforward network structure. Resonant properties in the noisy network can also...

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