Literature DB >> 1998494

An overview of neural networks.

D Greenwood1.   

Abstract

Some of the world's leading researchers in neural networks submitted their most recent results concerning their research in neural networks to the author for inclusion in this survey. Descriptive accounts of their collective papers are presented as well as a list of sources of information concerning neural networks, such as journals, books, and technical reports. The material is broken into categories related to established areas in computer science, robotics, neural modeling, and engineering.

Mesh:

Year:  1991        PMID: 1998494     DOI: 10.1002/bs.3830360102

Source DB:  PubMed          Journal:  Behav Sci        ISSN: 0005-7940


  4 in total

1.  Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data.

Authors:  Behzad Eftekhar; Kazem Mohammad; Hassan Eftekhar Ardebili; Mohammad Ghodsi; Ebrahim Ketabchi
Journal:  BMC Med Inform Decis Mak       Date:  2005-02-15       Impact factor: 2.796

2.  Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population.

Authors:  Juanmei Liu; Zi-Hui Tang; Fangfang Zeng; Zhongtao Li; Linuo Zhou
Journal:  BMC Med Inform Decis Mak       Date:  2013-07-31       Impact factor: 2.796

3.  The Utility of Artificial Neural Networks for the Non-Invasive Prediction of Metabolic Syndrome Based on Personal Characteristics.

Authors:  Feng-Hsu Wang; Chih-Ming Lin
Journal:  Int J Environ Res Public Health       Date:  2020-12-11       Impact factor: 3.390

4.  Artificial neural network models for predicting 1-year mortality in elderly patients with intertrochanteric fractures in China.

Authors:  L Shi; X C Wang; Y S Wang
Journal:  Braz J Med Biol Res       Date:  2013-11-18       Impact factor: 2.590

  4 in total

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