BACKGROUND Non-nutritive sucking is used during gavage feeding and in the transition from gavage to breast/bottle feeding in preterm infants. The rationale for this intervention is that non-nutritive sucking facilitates the development of sucking behaviour and improves digestion of enteral feedings. Non-nutritive sucking has been considered to be a benign intervention, although it has the poten...

Two different artificial neural networks (NN) are used for estimating a time dependent boundary condition (x = 0) in a slab: multilayer perceptron (MP) and radial base function (RBF). The input for the NN is the temperature time-series obtained from a probe next to boundary of interest. Our numerical experiments follow the work of Krejsa et al. [4]. The NNs were trainned considering 5 per cent ...

The paper deals with transformation algorithms for decomposing Boolean neural networks (NNs); this being done with a view to possible VLSI implementation of NNs using threshold gates (TGs). We detail a possible tree decomposition for COMPARISON, and show how this can be used for the decomposition of Boolean functions (BFs) belonging to FN,m – the class of BFs of N variables that have exactly m ...

The electric power industry is currently undergoing an unprecedented reform. One of the most exciting and potentially profitable recent developments is increasing usage of artificial intelligence techniques. The intention of this paper is to give an overview of using neural network (NN) techniques in power systems. According to the growth rate of NNs application in some power system subjects, t...

In this chapter, we review the sequence of events that resulted in the negotiated contractor work package and the subsequent string of contract modifications (see also Appendix A). It all began with a budget total established by the Navy in 1992. This was modified over the remainder of the decade in annual Navy budgets. The Navy, meanwhile, planned the work to be undertaken in the RCOH. NNS sub...

The aim of this paper is the design of a system that can learn any individual user’s perception of four subjective and key spatial relationships between image objects: “to the right of,” “above,” “to the left of ” and “below.” The proposed approach is based on the utilization of artificial Neural Networks (NNs) and the modeling of relative positions between 2D objects through histograms of forc...

In this paper a review of architectures suitable for nonlinear real-time audio signal processing is presented. The computational and structural complexity of neural networks (NNs) represent in fact, the main drawbacks that can hinder many practical NNs multimedia applications. In particular e,cient neural architectures and their learning algorithm for real-time on-line audio processing are disc...

The author proposes an extension of particle swarm optimization (PSO) for solving interval-valued optimization problems and applies the extended PSO to evolutionary training of neural networks (NNs) with interval weights. In the proposed PSO, values in the genotypes are not real numbers but intervals. Experimental results show that interval-valued NNs trained by the proposed method could well a...

In this paper, a fractional order model based on the management of waste plastic in ocean (FO-MWPO) is numerically investigated. The mathematical form FO-MWPO categorized into three components, plastic, Marine debris, and recycling. stochastic numerical solvers using Levenberg-Marquardt backpropagation neural networks (LMQBP-NNs) have been applied to present solutions system. competency method ...