Hybrid neural network

The term hybrid neural network can have two meanings: 1. * biological neural networks interacting with artificial neuronal models, and 2… (More)
Wikipedia

Related topics

Related topics

6 relations

Broader (1)

Artificial intelligence
Artificial neural networkArtificial neuronConnectionismDigital data
(More)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
A hybrid neural network and ARIMA model for water quality time series prediction
Accurate predictions of time series data have motivated the researchers to develop innovative models for water resources… (More)
  • figure 1
  • table 1
  • figure 2
  • table 2
  • figure 3
Is this relevant?
2007
2007
A hybrid neural network approach to bilevel programming problems
A combined neural network and tabu search hybrid algorithm is proposed for solving the bilevel programming problem. To illustrate… (More)
  • table 1
Is this relevant?
Highly Cited
2004
Highly Cited
2004
ECG beat classification using neuro-fuzzy network
In this paper we have studied the application on the fuzzy-hybrid neural network for electrocardiogram (ECG) beat classification… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 2
Is this relevant?
Highly Cited
2003
Highly Cited
2003
Hybrid neural network and C4.5 for misuse detection
Intrusion detection technology is an effective approach to dealing with the problems of network security. In this paper, we… (More)
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • table 2
Is this relevant?
Highly Cited
2001
Highly Cited
2001
ECG beat recognition using fuzzy hybrid neural network
This paper presents the application of the fuzzy neural network for electrocardiographic (ECG) beat recognition and… (More)
Is this relevant?
Highly Cited
2001
Highly Cited
2001
ECG beat classification by a novel hybrid neural network
This paper presents a novel hybrid neural network structure for the classification of the electrocardiogram (ECG) beats. Two… (More)
Is this relevant?
Highly Cited
1997
Highly Cited
1997
Face recognition: a convolutional neural-network approach
We present a hybrid neural-network for human face recognition which compares favourably with other methods. The system combines… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1997
Highly Cited
1997
Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks
Presents a fully automated process for segmentation and classification of multispectral magnetic resonance (MR) images. This… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1996
Highly Cited
1996
Hybrid neural network models for bankruptcy predictions
The objective of this paper is to develop the hybrid neural network models for bankruptcy prediction. The proposed hybrid neural… (More)
  • table I
  • table 2
  • table 2
  • table 4
  • table 3
Is this relevant?
Highly Cited
1992
Highly Cited
1992
A hybrid neural network‐first principles approach to process modeling
A hybrid neural network-first principles modeling scheme is developed and used to model a fedbatch bioreactor. The hybrid model… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 4
Is this relevant?