Examining scaling patterns of networks can help understand how structural features relate to the behavior of the networks. Input–output networks consist of industries as nodes and inter-industrial exchanges of products as links. Previous studies consider limitedmeasures for node strengths and link weights, and also ignore the impact of dataset choice. We consider a comprehensive set of indicato...

The feedforward neural network architecture uses backpropagation learning to determine optimal weights between different interconnected layers. This learning procedure uses a gradient descent technique applied to a sum-of-squares error function for the given inputoutput pattern. It employs an iterative procedure to minimise the error function for a given set of patterns, by adjusting the weight...

In the paper, we propose a predictive control scheme using a neural network-based prediction model for nonlinear processes. To identify the system dynamics, we approximate the nonlinear function with an affine function of some of its arguments and construct a special type of prediction model using three-layered feedforward neural networks. Using some available inputoutput data pairs of the plan...

In the Optimality-Theoretic learnability and acquisition literature it has been proposed that certain classes of constraints must be biased toward particular rankings (e.g., Markedness >> IO-Faithfulness; Specific IO-Faithfulness >> General IO-Faithfulness). While sometimes difficult to implement efficiently or comprehensively, these biases are necessary to explain how learners acquire the most...

This paper presents an adaptive output feedback stabilisation method based on neural networks for nonlinear non-minimum phase systems. The proposed controller comprises a linear, a neuro-adaptive, and an adaptive robustifying parts. The neural network is designed to approximate the matched uncertainties of the system. The inputs of the neural network are the tapped delays of the system inputout...

Sound exposure effects have been investigated by broadcasting a group of broilers with sound of Quran verses (Group B) whereas the other group is the control broilers (Group C). The growth rate comparisons in terms of weight and raw meat texture measured by shear force have been investigated. Twenty-seven broilers were randomly selected from each group on Day 24 and weight measurement was carri...

Despite tremendous progress in outlier detection research in recent years, the majority of existing methods are designed only to detect unconditional outliers that correspond to unusual data patterns expressed in the joint space of all data attributes. Such methods are not applicable when we seek to detect conditional outliers that reflect unusual responses associated with a given context or co...

This article analyzes the interactions through which primary-care nurses and patients accomplish patient weighing. The analysis is based on videotaped nurse-adult patient interactions in clinics in the area of Southern California. Detailed examination of co-participants' naturally situated weighing conduct shows that parties recurrently deliver utterances that go beyond that required to accompl...

We define some notions of the decentralization of a deterministic inputoutput machine. This opens the possibility for introducing game-theoretic elements —such as strategic players – inside the machine, as part of its design.