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Neural Computing and Applications

Neural Computing and Applications OnlineFirst articles

30.05.2020 | Original Article

Assessment of deflection of pile implanted on slope by artificial neural network

The influence of the proximity of slope on the laterally loaded piles has been the subject of several researches. The main purpose of this study is developing a neural model able to predict the deflection of laterally loaded piles placed near a …

30.05.2020 | Review

On robust randomized neural networks for regression: a comprehensive review and evaluation

Data from real-world regression problems are quite often contaminated with outliers. In order to efficiently handle such undesirable samples, robust parameter estimation methods have been incorporated into randomized neural network (RNN) models …

28.05.2020 | Original Article Open Access

Autoencoder-based image processing framework for object appearance modifications

The presented paper introduces a novel method for enabling appearance modifications for complex image objects. Qualitative visual object properties, quantified using appropriately derived visual attribute descriptors, are subject to alterations.

28.05.2020 | S.I. : DPTA Conference 2019

Safety evaluation method of hoisting machinery based on neural network

Hoisting machinery as a material handling equipment, widely used in the national economy departments, in the national “safe, efficient, green and harmonious” under the application requirements, to improve the intrinsically safe hoisting machinery …

27.05.2020 | Original Article

Online Bayesian shrinkage regression

The present work introduces an original and new online regression method that extends the shrinkage via limit of Gibbs sampler (SLOG) in the context of online learning. In particular, we theoretically show how the proposed online SLOG (OSLOG) is …

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Über diese Zeitschrift

Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.

All items relevant to building practical systems are within its scope, including contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and case histories of innovative applications.

Featured contributions fall into several categories: Original Articles, Review Articles, Forum Presentations, Book Reviews, Announcements and NCAF News.

The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value. They will be reviewed by at least two referees. The Forum Presentations will be summaries of oral presentations made at quarterly meetings of the Natural Computing Applications Forum which will generally be reviewed by one referee.

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