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Neural Computing and Applications

Neural Computing and Applications OnlineFirst articles

04-07-2020 | Original Article

Probabilistic collaborative representation on Grassmann manifold for image set classification

For image-set based classification, sparse coding and collaborative representation have gained a lot of attention due to their robustness and effectiveness. However, most existing methods focus on collaborative representation in Euclidean space.

04-07-2020 | S.I. : Data Fusion in the era of Data Science

Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach

Bitcoin is a decentralized cryptocurrency, which is a type of digital asset that provides the basis for peer-to-peer financial transactions based on blockchain technology. One of the main problems with decentralized cryptocurrencies is price …

04-07-2020 | Original Article

A novel empirical correlation for waterflooding performance prediction in stratified reservoirs using artificial intelligence

Water has been used as an injected fluid for decades to improve oil recovery, commonly known as waterflooding. Simulating this process is very expensive, especially for the post-water breakthrough analysis in stratified oil reservoirs. The …

03-07-2020 | Original Article

An approach to identify solutions of interest from multi and many-objective optimization problems

The result of a multiobjective or a many-objective optimization problem is a large set of non-dominated solutions. Once the Pareto Front (or a good approximation of it) has been found, then providing the decision maker with a smaller set of …

03-07-2020 | Original Article

Bipartite finite time synchronization for general Caputo fractional-order impulsive coupled networks

This briefly investigates the bipartite finite time synchronization in fractional-order impulsive signed networks (FISNs), where there exist antagonistic communication links between neighboring nodes. Firstly, some new judgment conditions about …

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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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