Neural networks and support vector machines based bio-activity classification
Classification of various compounds into their respective biological activity classes is important in drug discovery applications from an early phase virtual compound filtering and screening point of view. In this work two types of neural networks, multi layer perceptron (MLP) and radial basis funct...
| Main Authors: | Zeb Shah, Jehan, Salim, Naomie |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2006
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/270/ http://eprints.utm.my/270/1/JehanZebShah2006_Neuralnetworksandsupportvector.pdf |
Similar Items
Clustering of Chemical Compounds using Unsupervised Neural Networks Algorithms: a comparison
by: Zeb Shah, Jehan, et al.
Published: (2006)
by: Zeb Shah, Jehan, et al.
Published: (2006)
Clustering of chemical compounds using unsupervised neural networks algorithms : a comparison
by: Zeb Shah, Jehan, et al.
Published: (2006)
by: Zeb Shah, Jehan, et al.
Published: (2006)
Comparative analysis of support vector machine, maximum likelihood and neural network classification on multispectral remote sensing data
by: Ahmad, Asmala, et al.
Published: (2018)
by: Ahmad, Asmala, et al.
Published: (2018)
Fuzzy clustering algorithms and their applications to chemical datasets
by: Shah, Jehan Zeb, et al.
Published: (2005)
by: Shah, Jehan Zeb, et al.
Published: (2005)
Hybridization Of Optimized Support
Vector Machine And Artificial Neural
Network For The Diabetic Retinopathy
Classification Problem
by: Kader, Nur Izzati Ab
Published: (2019)
by: Kader, Nur Izzati Ab
Published: (2019)
Bioactivity classification of anti aids compounds using neural network and support vector machine: a comparison
by: A. Hamid, Rahayu
Published: (2004)
by: A. Hamid, Rahayu
Published: (2004)
Fingerprint classification using support vector machine
by: Ho, Kah Weng
Published: (2020)
by: Ho, Kah Weng
Published: (2020)
Optimized bio-inspired kernels with twin support vector machine using low identity sequences to solve imbalance multiclass classification
by: Guramand, S.K., et al.
Published: (2019)
by: Guramand, S.K., et al.
Published: (2019)
Quadratic tuned kernel parameter in non-linear support vector machine (SVM) for agarwood oil compounds quality classification
by: Muhamad Addin Akmal, Mohd Raif, et al.
Published: (2019)
by: Muhamad Addin Akmal, Mohd Raif, et al.
Published: (2019)
Precise classification of five grades aquilaria malaccensis essential oil: Multiclass support vector machine utilizing pattern graphical representation on a two-dimensional graph
by: Anis Hazirah ‘Izzati H., Al-Hadi, et al.
Published: (2024)
by: Anis Hazirah ‘Izzati H., Al-Hadi, et al.
Published: (2024)
Enhancement of new smooth support vector machines for classification problems
by: Santi Wulan, Purnami
Published: (2011)
by: Santi Wulan, Purnami
Published: (2011)
Texture classification using wavelet transform and support vector machines
by: Yeo, Alvin Zong Yun
Published: (2011)
by: Yeo, Alvin Zong Yun
Published: (2011)
Prediction of Neural Tube Defect Using Support Vector Machine
by: Wang, J., et al.
Published: (2010)
by: Wang, J., et al.
Published: (2010)
Forecasting Interest Rates from the Term Structure:
Support Vector Machines Vs Neural Networks
by: Jacovides, Andreas
Published: (2008)
by: Jacovides, Andreas
Published: (2008)
Model Based Control Of Nonlinear Bio
Polymerization Process (Lactone To
Polyester) Using Neural Networks
by: Ahmad, Zainal, et al.
Published: (2013)
by: Ahmad, Zainal, et al.
Published: (2013)
Machining process classification using PCA reduced histogram features and the support vector machine
by: Ashour, Mohammed Waleed, et al.
Published: (2015)
by: Ashour, Mohammed Waleed, et al.
Published: (2015)
Lightning fault classification for transmission line using support vector machine
by: Asman, Saidatul Habsah, et al.
Published: (2023)
by: Asman, Saidatul Habsah, et al.
Published: (2023)
Multiclass support vector machines for classification of ECG data with missing values
by: Hejazi, Maryamsadat, et al.
Published: (2015)
by: Hejazi, Maryamsadat, et al.
Published: (2015)
Integration of spectral information into support vector machine for land cover classification
by: Md. Sap, Mohd. Noor, et al.
Published: (2007)
by: Md. Sap, Mohd. Noor, et al.
Published: (2007)
Texture-based classification of workpiece surface images using the support vector machine
by: Ashour, Mohammed Waleed, et al.
Published: (2015)
by: Ashour, Mohammed Waleed, et al.
Published: (2015)
An improved algorithm for iris classification by using support vector machine and binary random machine learning
by: Kamarulzalis, Ahmad Haadzal
Published: (2018)
by: Kamarulzalis, Ahmad Haadzal
Published: (2018)
Inactivation of fungal spores from clinical environment by silver
bio-nanoparticles; optimization, artificial neural network model
and mechanism
by: Nomand, Efaq, et al.
Published: (2022)
by: Nomand, Efaq, et al.
Published: (2022)
Machine learning techniques (support vector machine and artificial neural network) for fundamental and technical analysis: a study on SET and PSEI
by: Chin, Jern Tat
Published: (2021)
by: Chin, Jern Tat
Published: (2021)
The application of support vector machine in classifying potential archers using bio-mechanical indicators
by: Zahari, Taha, et al.
Published: (2018)
by: Zahari, Taha, et al.
Published: (2018)
Prediction Of Air Pollution Index (API) And Water Quality Index (WQI) Using Support Vector Machine (SVM)
by: Leong, Wei Cong
Published: (2017)
by: Leong, Wei Cong
Published: (2017)
A relative evaluation of multi-class image classification by support vector machines
by: Foody, Giles M., et al.
Published: (2004)
by: Foody, Giles M., et al.
Published: (2004)
Waste classification using support vector machine with SIFT-PCA feature extraction
by: Puspaningrum, Adita Putri, et al.
Published: (2020)
by: Puspaningrum, Adita Putri, et al.
Published: (2020)
The classification of skateboarding tricks: A support vector machine hyperparameter evaluation optimisation
by: Muhammad Ar Rahim, Ibrahim, et al.
Published: (2021)
by: Muhammad Ar Rahim, Ibrahim, et al.
Published: (2021)
Rain classification for autonomous vehicle navigation : A support vector machine approach
by: Abdul Haleem, Habeeb Mohamed, et al.
Published: (2020)
by: Abdul Haleem, Habeeb Mohamed, et al.
Published: (2020)
Combined support vector machine and pattern matching for hadith question classification system
by: Ali Muttaleb, Hasan, et al.
Published: (2018)
by: Ali Muttaleb, Hasan, et al.
Published: (2018)
Banana quality attribute prediction and ripeness classification using support vector machine
by: Adebayo, Segun Emmanuel, et al.
Published: (2017)
by: Adebayo, Segun Emmanuel, et al.
Published: (2017)
Improved support vector machine using multiple SVM-RFE for cancer classification
by: Mohd Hasri, Nurul Nadzirah, et al.
Published: (2017)
by: Mohd Hasri, Nurul Nadzirah, et al.
Published: (2017)
Pathway-based analysis with support vector machine (SVM-LASSO) for gene selection and classification
by: Nurul Athirah, Nasrudin, et al.
Published: (2017)
by: Nurul Athirah, Nasrudin, et al.
Published: (2017)
Pathway-based analysis with Support Vector Machine (SVM-LASSO) for gene selection and classification
by: Nasrudin, Nurul Athirah, et al.
Published: (2017)
by: Nasrudin, Nurul Athirah, et al.
Published: (2017)
Application of slantlet transform based support vector machine for power quality detection and classification
by: Mohd Noh, Faridah Hanim, et al.
Published: (2015)
by: Mohd Noh, Faridah Hanim, et al.
Published: (2015)
Identification of vessel anomaly behavior using support vector machines and Bayesian networks
by: Dwi Handayani, Dini Oktarina, et al.
Published: (2014)
by: Dwi Handayani, Dini Oktarina, et al.
Published: (2014)
The employment of Support Vector Machine to classify high and low performance archers based on bio-physiological variables
by: Zahari, Taha, et al.
Published: (2018)
by: Zahari, Taha, et al.
Published: (2018)
Hybrid Entropy Decomposition And Support Vector Machine Method For Image Classification For Crop Fields
by: Tan, Chue Poh
Published: (2007)
by: Tan, Chue Poh
Published: (2007)
Support vector machine classification to detect land cover changes in Halabja city, Iraq
by: Al-Doski, Jwan M. Mohammed, et al.
Published: (2013)
by: Al-Doski, Jwan M. Mohammed, et al.
Published: (2013)
Color-based of bird species classification using Support Vector Machine / Nur Amalina Nazery
by: Nazery, Nur Amalina
Published: (2017)
by: Nazery, Nur Amalina
Published: (2017)
Similar Items
-
Clustering of Chemical Compounds using Unsupervised Neural Networks Algorithms: a comparison
by: Zeb Shah, Jehan, et al.
Published: (2006) -
Clustering of chemical compounds using unsupervised neural networks algorithms : a comparison
by: Zeb Shah, Jehan, et al.
Published: (2006) -
Comparative analysis of support vector machine, maximum likelihood and neural network classification on multispectral remote sensing data
by: Ahmad, Asmala, et al.
Published: (2018) -
Fuzzy clustering algorithms and their applications to chemical datasets
by: Shah, Jehan Zeb, et al.
Published: (2005) -
Hybridization Of Optimized Support
Vector Machine And Artificial Neural
Network For The Diabetic Retinopathy
Classification Problem
by: Kader, Nur Izzati Ab
Published: (2019)