Default: Neural Networks

ISSN: 0893-6080

Journal Home

Journal Guideline

Neural Networks Q1 Unclaimed

Elsevier Ltd. United Kingdom
Unfortunately this journal has not been claimed yet. For this reason, some information may be unavailable.

Neural Networks is a journal indexed in SJR in Cognitive Neuroscience and Artificial Intelligence with an H index of 136. It has an SJR impact factor of 1,718 and it has a best quartile of Q1. It is published in English.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Price

- €

Gold OA

-

Green OA

- €

Non OA

Metrics

Neural Networks

1,718

SJR Impact factor

136

H Index

206

Total Docs (Last Year)

506

Total Docs (3 years)

11295

Total Refs

3677

Total Cites (3 years)

502

Citable Docs (3 years)

7,22

Cites/Doc (2 years)

54,83

Ref/Doc


Best articles

A connectionist model for convex-hull of a planar set

View more

A fast neural-network algorithm for VLSI cell placement

View more

A flexible multicomputer algorithm for artificial neural networks

View more

A global learning algorithm for a RBF network

View more

A learning algorithm for applying synthesized stable dynamics to system identification

View more

A learning algorithm for oscillatory cellular neural networks

View more

A massively parallel resistive network for "weak rod": A double-layer architecture with nearest-neighbor connections

View more

A modified back-propagation method to avoid false local minima

View more

A modified fuzzy ARTMAP architecture for the approximation of noisy mappings

View more

A network of chaotic elements for information processing

View more

A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation

View more

A neural network classifier with disjunctive fuzzy information

View more
SHOW MORE ARTICLES

A neural network for 500 word vocabulary word spotting using non-uniform units

View more

A new algorithm for learning in piecewise-linear neural networks

View more

A New Approach to the Analysis of Multidimensional Neuronal Activity: Markov Random Fields

View more

A quantitative study of experimental evaluations of neural network learning algorithms: Current research practice

View more

A real-time, unsupervised neural network for the low-level control of a mobile robot in a nonstationary environment

View more

A remark on 'On stability of nonlinear continuous-time neural networks with delays'

View more

A small-size neural network for computing with strange attractors

View more

A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters

View more

Adaptive critic for sigma-pi networks

View more

Adaptive Resonance Theory Microchips: Circuit Design Techniques

View more

Adaptive response organizer network for space-time patterns in low level vision

View more

An Efficient EM-based Training Algorithm for Feedforward Neural Networks

View more

Comments

No comments ... Be the first to comment!