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Neural Computing and Applications

Neural Computing and Applications OnlineFirst articles

19.05.2018 | S.I. : Emerging Intelligent Algorithms for Edge-of-Things Computing

Module overlapping structure detection in PPI using an improved link similarity-based Markov clustering algorithm

The identification and analysis of functional modules in protein–protein interaction (PPI) networks provide insight into understanding the organization and function of biological systems. A lot of overlapping structures are shared by the …

18.05.2018 | Original Article

An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets

Human opinion cannot be restricted to yes or no as depicted by conventional fuzzy set (FS) and intuitionistic fuzzy set (IFS) but it can be yes, abstain, no and refusal as explained by picture fuzzy set (PFS). In this article, the concept of …

18.05.2018 | Original Article

Hysteretic noisy frequency conversion sinusoidal chaotic neural network for traveling salesman problem

This paper proposes a novel method to improve accuracy and speed for traveling salesman problem (TSP). A novel hysteretic noisy frequency conversion sinusoidal chaotic neural network (HNFCSCNN) with improved energy function is proposed for TSP to …

18.05.2018 | Original Article

Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm

This paper extends Archimedean t-norm and t-conorm to aggregate the dual hesitant fuzzy linguistic information. Firstly, some basic concepts of dual hesitant fuzzy linguistic elements (DHFLEs) and operational rules of Archimedean t-norm and …

17.05.2018 | Original Article

Free alignment classification of dikarya fungi using some machine learning methods

Gene clustering based on amino acid sequence similarity has been one of the most important problems and always challenging in molecular biology. The most conventional methods are based on alignment-technique. These methods cannot identify and …

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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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