ISSN: 0893-6080

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Neural Networks Q1 Unclaimed

Elsevier Ltd. United Kingdom

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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: -

Categories: Artificial Intelligence (Q1) Cognitive Neuroscience (Q1)

Price

- €

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Green OA

- €

Non OA

Metrics

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

Aims and Scope

Other journals with similar parameters

Trends in Cognitive Sciences Q1
Neuroscience and Biobehavioral Reviews Q1
Cerebral Cortex Q1
NeuroImage Q1
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging Q1

Best articles

A connectionist model for convex-hull of a planar set

A fast neural-network algorithm for VLSI cell placement

A flexible multicomputer algorithm for artificial neural networks

A global learning algorithm for a RBF network

A learning algorithm for applying synthesized stable dynamics to system identification

A learning algorithm for oscillatory cellular neural networks

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

A modified back-propagation method to avoid false local minima

A modified fuzzy ARTMAP architecture for the approximation of noisy mappings

A network of chaotic elements for information processing

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

A neural network classifier with disjunctive fuzzy information

SHOW MORE ARTICLES

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

A new algorithm for learning in piecewise-linear neural networks

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

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

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

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

A small-size neural network for computing with strange attractors

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

Adaptive critic for sigma-pi networks

Adaptive Resonance Theory Microchips: Circuit Design Techniques

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

An Efficient EM-based Training Algorithm for Feedforward Neural Networks

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