Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm

José Luis Subirats; José M. Jerez; Iván Gómez; Leonardo Franco

doi:10.1007/s12559-010-9051-6

ScienceGate Book Chapters

JOURNAL ARTICLE

Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm

José Luis Subirats José M. Jerez Iván Gómez Leonardo Franco

Year: 2010 Journal: Cognitive Computation Vol: 2 (4)Pages: 285-290 Publisher: Springer Science+Business Media

DOI: 10.1007/s12559-010-9051-6

Get Full-Text PDF Get Analytical Report

Keywords:

Extension (predicate logic) Computer science Benchmark (surveying) Multiclass classification Algorithm Artificial neural network Class (philosophy) Set (abstract data type) Constructive Artificial intelligence Pattern recognition (psychology) Machine learning Support vector machine Process (computing)

Metrics

Cited By

1.20

FWCI (Field Weighted Citation Impact)

Refs

0.83

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm

Metrics

Citation History

Topics

Related Documents

FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm

Committee C-Mantec: A Probabilistic Constructive Neural Network

C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons

Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm

Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller