The application of hybrid neural network models to estimate age of domestic ungulates

1993 ◽  
Vol 3 (1) ◽  
pp. 45-48 ◽  
Author(s):  
Paul M. Gibson
Keyword(s):  
Neural Network ◽  
Network Models ◽  
Neural Network Models ◽  
Hybrid Neural Network

An Experimental Study of Hybrid Machine Learning Models for Extracting Named Entities

10.29007/dp5m ◽  
2019 ◽  
Author(s):  
Lei Jiang ◽  
Elena Bolshakova
Keyword(s):  
Neural Network ◽  
Conditional Random Fields ◽  
Named Entity Recognition ◽  
Network Models ◽  
Entity Recognition ◽  
Neural Network Models ◽  
Named Entities ◽  
Hybrid Neural Network ◽  
Named Entity ◽  
Two Hybrid

The paper describes two hybrid neural network models for named entity recognition (NER) in texts, as well as results of experiments with them. The first model, namely Bi-LSTM-CRF, is known and used for NER, while the other model named Gated-CNN- CRF is proposed in this work. It combines convolutional neural network (CNN), gated linear units, and conditional random fields (CRF). Both models were tested for NER on three different language datasets, for English, Russian, and Chinese. All resulted scores of precision, recall and F1-measure for both models are close to the state-of-the-art for NER, and for the English dataset CoNLL-2003, Gated-CNN-CRF model achieves 92.66 of F1-measure, outperforming the known result.

HYBRID NEURAL NETWORK MODELS OF BIOPROCESSES: A COMPARATIVE STUDY

2005 ◽  
Vol 38 (1) ◽  
pp. 159-164
Author(s):  
A Grosfils ◽  
A. Vande Wouwer ◽  
Ph. Bogaerts
Keyword(s):  
Neural Network ◽  
Comparative Study ◽  
Network Models ◽  
Neural Network Models ◽  
Hybrid Neural Network

Hybrid neural network models for bankruptcy predictions

1996 ◽  
Vol 18 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Kun Chang Lee ◽  
Ingoo Han ◽  
Youngsig Kwon
Keyword(s):  
Neural Network ◽  
Network Models ◽  
Neural Network Models ◽  
Hybrid Neural Network
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