Functional link neural network (FLNN) is a class of higher order neural networks (HONs) and
have gained extensive popularity in recent years. FLNN have been successfully used in …

Safety analysis according to the spatial distribution characteristics of maritime traffic
accidents is critical to maritime traffic safety management. An accident analysis framework …

In this paper, a novel approach is proposed to improve the classification performance of a
polynomial neural network (PNN). In this approach, the partial descriptions (PDs) are …

High-order neural networks can be considered as an expansion of Hopfield neural
networks, and have stronger approximation property, faster convergence rate, greater …

This research focuses on using various higher order neural networks (HONNs) to predict the
upcoming trends of financial signals. Two HONNs models: the Pi-Sigma neural network and …

The problem of Impulsive effects on stability analysis of high-order BAM neural networks
with time delays is investigated in this paper. By using the Lyapunov technique and …

This paper considers the prediction of noisy time series data, specifically, the prediction of
financial signals. A novel Dynamic Ridge Polynomial Neural Network (DRPNN) for financial …

An accurate estimation of pile response to loading is a challenging task due to the
complexity of the soil–pile interactions and uncertainties in the soil properties. Conventional …

Parkinson's disease (PD) patient care is limited by inadequate, sporadic symptom
monitoring, infrequent access to care, and sparse encounters with healthcare professionals …

In this paper, we propose a novel Hybrid Higher Order Neural Classifier (HHONC) which
contains different high-order units. In contrast with conventional fully-connected higher order …