A hybrid supervised ANN for classification and data visualization

QR Code

A hybrid supervised ANN for classification and data visualization

Supervised ANNs such as Learning Vector Quantization (LVQs) and Multi-Layer Perceptrons (MLPs) usually do not support data visualization beside classification. Unsupervised visualization focused ANNs such as Self-organizing Maps (SOM) and its variants such as Visualization induced SOM (ViSOM) on the...

Full description

Bibliographic Details
Main Authors:	Chee, Siong Teh, Zahan Tapan, Md. Sarwar
Format:	Article
Language:	English
Published:	IEEE 2008
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/16550/ http://ir.unimas.my/id/eprint/16550/1/Chee%20Siong%20Teh.pdf

Similar Items

A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis
by: Md. Sarwar, Zahan Tapan
Published: (2008)

Hybridization of Learning Vector Quantization (LVQ) and Adaptive Coordinates (AC) for data classification and visualization
by: Md. Sarwar, Zahan Tapan, et al.
Published: (2008)

AC-ViSOM: Hybridising the Modified Adaptive Coordinate (AC) and ViSOM for Data Visualization
by: Md. Sarwar, Zahan Tapan, et al.
Published: (2008)

A hybrid spiking neural network model for multivariate data classification and visualization.
by: Ming, Leong Yii, et al.
Published: (2011)

A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering
by: Teh, Chee Siong
Published: (2006)

Dimensional Reduction and Data Visualization Using Hybrid Artificial Neural Networks
by: Chee, Siong Teh, et al.
Published: (2015)

Dimensional reduction and data visualization using hybrid artificial neural networks.
by: Chee, Siong Teh, et al.
Published: (2015)

Dimensional reduction and data visualization using hybrid artificial neural networks.
by: Teh, Chee Siong, et al.
Published: (2015)

Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme
by: Ashour, Mohammed Waleed, et al.
Published: (2013)

A Hybrid Artificial Neural Network Model For Data Visualisation, Classification, And Clustering [QP363.3. T253 2006 f rb].
by: Teh, Chee Siong
Published: (2006)

Classification of Agarwood using ANN
by: M. S., Najib, et al.
Published: (2012)

Contrastive Self-Supervised Learning for Image Classification
by: Tan, Yong Le
Published: (2021)

Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
by: Ganesh , Krishnasamy
Published: (2019)

Classification of agarwood grades using ANN
by: M. S., Najib, et al.
Published: (2011)

Enhancing supervised classifications with metamorphic relations
by: Xu, Liming, et al.
Published: (2018)

A Novel Triangulate Mapping Based on Self- Organized Anchor Points for Data Visualization
by: Yii, Ming Leong, et al.
Published: (2017)

Application of ANN in Agarwood Oil Grade Classification
by: Saiful Nizam, Tajuddin, et al.
Published: (2014)

The sensitivity of mapping methods to reference data quality: training supervised image classifications with imperfect reference data
by: Foody, Giles M., et al.
Published: (2016)

Enhanced Supervised Fuzzy Clustering For Pattern Classification
by: Lim , Kian Ming
Published: (2010)

Predicting the stress level of students using supervised machine learning and artificial neural network (ANN)
by: Arya, Suraj, et al.
Published: (2024)

EEG Spectrogram Classification Employing ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)

Classification of EEG Spectrogram Using ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)

Wavelet-ANN versus ANN-based model for hydrometeorological drought forecasting
by: Munir, H. K., et al.
Published: (2018)

A new classification technique based on hybrid fuzzy soft set theory and supervised fuzzy c-means
by: Handaga, Bana
Published: (2013)

An artificial neural network for pattern classification and visualization
by: Sandra,, Ong Pi Yin.
Published: (2010)

A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised fuzzy c-means
by: Lai, Daphne Teck Ching, et al.
Published: (2014)

Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting
by: Md. Munir, Hayet Khan*, et al.
Published: (2020)

A Hybrid Intelligent System For Data Analysis And Visualization.
by: Wang, Shir Li
Published: (2007)

A Hybrid Intelligent System For Data Analysis And Visualization
by: Wang, Shir Li
Published: (2007)

Leveraging hybrid ANN–AHP to optimize cement industry average inventory levels
by: Edy, Fradinata, et al.
Published: (2024)

Interactive Evolutionary Computation and Density- based Clustering for Data Analysis
by: Teh, Chee Siong, et al.
Published: (2007)

Classification of EEG spectrogram image with ANN approach for brainwave balancing application
by: Mahfuzah, Mustafa, et al.
Published: (2011)

Incorporating Informative Score For Instance Selection In Semi-supervised Sentiment Classification
by: Vivian, Lee Lay Shan
Published: (2022)

Real-time integrated process supervision
by: Quek, Chai, et al.
Published: (2000)

Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction
by: Mohd Aris, Teh Noranis, et al.
Published: (2024)

Classification for ammonia in water by specific concentration using artificial neural network (ANN)
by: Muhamad Faruqi, Zahari, et al.

Hyper-heuristic framework for sequential semi-supervised classification based on core clustering
by: Adnan, Ahmed, et al.
Published: (2020)

Self-labeling techniques for semi-supervised time series classification: an empirical study
by: González, Mabel, et al.
Published: (2017)

Image textural features and semi-supervised learning: An application to classification of coal particles
by: Aldrich, Chris, et al.
Published: (2012)

Design and data analysis for a belt-for-blind for visual impaired people
by: Hossain, Eklas, et al.
Published: (2011)