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In recent years, artificial neural networks have become the subject of intensive research in a number of scientific areas. The high performance and operational speed of neural models open up a wide spectrum of applications in various areas of life sciences. Objectives pursued by many scientists, who use neural modelling in their research, focus – among others – on intensifying real-time calculations. This study shows the possibility of using Multilayer-Perceptron (MLP) and Radial Basis Function (RBF) models of artificial neural networks for the future development of new methods for animal science. The process should be explained explicitly to make the MLP and RBF models more readily accepted by more researchers. This study describes and recommends certain models as well as uses forecasting methods, which are represented by the chosen neural network topologies, in particular MLP and RBF models for more successful operations in the field of animals sciences. [ABSTRACT FROM AUTHOR]

The aim of this bibliometric analysis was to identify the authors, their institutions and countries, and the content of articles published in the Journal of Applied Animal Welfare Science (JAAWS) from 2009–2019. An analysis of 338 articles identified Emily Weiss, Jason B. Coe, and Emily McCobb as frequent publishers and Pauleen C. Bennett and Terry L. Maple as prolific collaborators. Georgia J. Mason, Kathy Carlstead, and Geoffrey R. Hosey were identified as the most cited authors, whereas Emily J. Bethell had the most cited publication and Jeanne Altmann was the most cited JAAWS reference. Analysis of the organizations from which research published in JAAWS generated revealed the University of Guelph, Purdue University, Tufts University, University of California – Davis, Monash University, and Unitech Institute of Technology as prolific contributors. The top three countries central to JAAWS publications were the USA, Australia, and England. Analysis of the keywords identified animal welfare, welfare, behavior, and dog as salient descriptors. Text analysis of titles and abstracts revealed behavior, effect, time, and dog as key descriptors. Findings are discussed within the broader context of anthrozoological research and literature. [ABSTRACT FROM AUTHOR]