Abstract Functional Link Neural Network (FLNN) has emerged as an important tool for
solving non-linear classification problem and has been successfully applied in many …

In the field of ISAR Data extraction, many drawbacks appear and make this field a very
challenging one. Therefore, using higher order neural networks (HONN) became an useful …

This paper addresses the problem of decision making in the context of financial markets,
more specifically, the problem of forecasting the correct trading action for a certain future …

The thesis addresses a particular class of decision making problems. We name these tasks
Actionable Forecasting problems. The main distinguishing feature of this type of decision …

Time series forecasting gets much attention due to its impact on many practical applications.
Higher-order neural network with recurrent feedback is a powerful technique which used …

Functional link neural network (FLNN) has emerged as an important tool used for function
approximation and IT application on physical time series prediction. The standard learning …

The ridge polynomial neural network is one of the most popular higher-order neural
networks, which has the powerful capability of approximating reasonable functions while …

Today extending virtualization technology into high-performance, cluster platforms
generates exciting new possibilities, including dynamic allocation of resources to job, easier …

Classification is one of the most frequent studies in the area of Artificial Neural Network
(ANNs). The ANNs are capable of generating complex mapping between the input and the …

Classification is one of the most frequent studies in the area of Artificial Neural Network
(ANNs). One of the best known types of ANNs is the Multilayer Perceptron (MLP). However …