Literature DB >> 20523476

Counterpropagation networks.

R Hecht-Nielsen.   

Abstract

By combining Kohonen learning and Grossberg learning a new type of mapping neural network is obtained. This counterpropagation network (CPN) functions as a statistically optimal self-programming lookup table. The paper begins with some introductory comments, followed by the definition of the CPN. Then a closedform formula for the error of the network is developed. The paper concludes with a discussion of CPN variants and comments about CPN convergence and performance. References and a neurocomputing bibliography with a combined total of eighty entries are provided.

Year:  1987        PMID： 20523476     DOI： 10.1364/AO.26.004979

Source DB:  PubMed          Journal:  Appl Opt        ISSN： 1559-128X            Impact factor:   1.980


  14 in total

1.  ANVAS: artificial neural variables adaptation system for descriptor selection.

Authors:  Paolo Mazzatorta; Marjan Vracko; Emilio Benfenati
Journal:  J Comput Aided Mol Des       Date:  2003 May-Jun       Impact factor: 3.686

2.  Modeling water and carbon fluxes above summer maize field in North China Plain with back-propagation neural networks.

Authors:  Zhong Qin; Gao-Li Su; Qiang Yu; Bing-Min Hu; Jun Li
Journal:  J Zhejiang Univ Sci B       Date:  2005-05       Impact factor: 3.066

3.  Exploratory Analysis in Time-Varying Data Sets: a Healthcare Network Application.

Authors:  Narine Manukyan; Margaret J Eppstein; Jeffrey D Horbar; Kathleen A Leahy; Michael J Kenny; Shreya Mukherjee; Donna M Rizzo
Journal:  Int J Adv Comput Sci       Date:  2013-07

4.  Artificial neural network analysis for reliability prediction of regional runoff utilization.

Authors:  S C Lee; H T Lin; T Y Yang
Journal:  Environ Monit Assess       Date:  2009-02-21       Impact factor: 2.513

5.  Discovery of Novel Molecular Frameworks of Farnesoid X Receptor Modulators by Ensemble Machine Learning.

Authors:  Daniel Merk; Francesca Grisoni; Kay Schaller; Lukas Friedrich; Gisbert Schneider
Journal:  ChemistryOpen       Date:  2018-10-02       Impact factor: 2.911

6.  Self-organising discovery, recognition and prediction of haemodynamic patterns in the intensive care unit.

Authors:  R G Spencer; C S Lessard; F Davila; B Etter
Journal:  Med Biol Eng Comput       Date:  1997-03       Impact factor: 2.602

7.  Development of simple fitness landscapes for peptides by artificial neural filter systems.

Authors:  G Schneider; J Schuchhardt; P Wrede
Journal:  Biol Cybern       Date:  1995-08       Impact factor: 2.086

8.  Classification of brain compartments and head injury lesions by neural networks applied to MRI.

Authors:  E R Kischell; N Kehtarnavaz; G R Hillman; H Levin; M Lilly; T A Kent
Journal:  Neuroradiology       Date:  1995-10       Impact factor: 2.804

9.  A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture.

Authors:  Carmen Paz Suárez-Araujo; Patricio García Báez; Ylermi Cabrera-León; Ales Prochazka; Norberto Rodríguez Espinosa; Carlos Fernández Viadero; For The Alzheimer's Disease Neuroimaging Initiative
Journal:  Comput Math Methods Med       Date:  2021-06-21       Impact factor: 2.238

10.  Prediction model of human ABCC2/MRP2 efflux pump inhibitors: a QSAR study.

Authors:  Minh-Tri Le; Thien-Vy Phan; Viet-Khoa Tran-Nguyen; Thanh-Dao Tran; Khac-Minh Thai
Journal:  Mol Divers       Date:  2020-02-11       Impact factor: 2.943
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