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Neural Computing and Applications

Neural Computing and Applications OnlineFirst articles

19.02.2018 | Original Article

CHIP: Constraint Handling with Individual Penalty approach using a hybrid evolutionary algorithm

Constraint normalization ensures consistency in scaling for each constraint in an optimization problem. Most constraint handling studies only address the issue to deal with constraints and use problem information to scale the constraints. In this …

17.02.2018 | Original Article

Effective use of 2-termsets by discarding redundant member terms in bag-of-words representation

Recent studies have proven the potential of using termsets to enrich the conventionally used bag-of-words-based representation of electronic documents by forming composite feature vectors. In this approach, some of the member terms may become …

15.02.2018 | Original Article

Short-term wind power prediction based on improved small-world neural network

In a competitive electricity market, wind power prediction is important for market participants. However, the prediction has not a general solution due to its inherent uncertainty, intermittency, and multi-fractal nature. This paper firstly …

15.02.2018 | Original Article

Rough set theory with Jaya optimization for acute lymphoblastic leukemia classification

Early diagnosis of malignant leukemia can enormously help the physicians in choosing the right treatment for the patient. A lot of diagnostic techniques are available to identify leukemia disease, but these techniques are costly. Hence, there is a …

13.02.2018 | Original Article

Semi-supervised multiple kernel intact discriminant space learning for image recognition

In practice, huge amount of samples is readily available, while labeled samples are often very limited and too expensive to be easily obtained. Multi-view features usually reveal different types of traits of labeled and unlabeled samples.

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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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