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Neural Computing and Applications

Neural Computing and Applications OnlineFirst articles

19-06-2019 | Deep Learning for Big Data Analytics

Research on context-aware group recommendation based on deep learning

In the field of artificial intelligence, the development of many technologies requires technical support for relational classification. Recently, deep learning has been applied more and more to text-based entity relationship classification tasks …

18-06-2019 | Original Article

Context-aware attention network for image recognition

Existing recognition methods based on deep learning have achieved impressive performance. However, most of these algorithms do not fully utilize the contexts and discriminative parts, which limit the recognition performance. In this paper, we …

18-06-2019 | Brain inspired Computing &Machine Learning Applied Research-BISMLARE

Identifying data streams anomalies by evolving spiking restricted Boltzmann machines

Data streams are characterized by high volatility, and they drastically change in an unpredictable way over time. In the typical case, newer data are the most important, as the concept of aging is based on their timing. These flows require …

17-06-2019 | Original Article

Short-term solar power prediction using multi-kernel-based random vector functional link with water cycle algorithm-based parameter optimization

A new hybrid model combining the kernel functions along with the random vector functional link neural network (RVFLN) is proposed in this paper for an effective solar power prediction. The conventional RVFLN is known for its fast learning speed …

14-06-2019 | Original Article

Prediction of fresh and hardened properties of self-compacting concrete using support vector regression approach

This article presents the feasibility of using support vector regression (SVR) technique to determine the fresh and hardened properties of self-compacting concrete. Two different kernel functions, namely exponential radial basis function (ERBF) …

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About this journal

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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