Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks

QR Code

Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks

Traditionally, two protein sequences are classified into the same class if their feature patterns have high homology. These feature patterns were originally extracted by sequence alignment algorithms, which measure similarity between an unseen protein sequence and identified protein sequences. Neura...

Full description

Bibliographic Details
Main Authors:	Wang, Dianhui, Lee, Nung Kion, Dillon, Tharam S.
Format:	Article
Language:	English
Published:	Neural Information Processing Systems ( NIPS ) 2003
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://ir.unimas.my/id/eprint/11912/ http://ir.unimas.my/id/eprint/11912/7/wang.pdf

Similar Items

Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks
by: Wang, D., et al.
Published: (2003)

Data Mining for Building Neural Protein Sequence Classification Systems with Improved Performance
by: Wang, Dianhui, et al.
Published: (2003)

Protein Sequences Classification Using Modular RBF Neural Networks
by: Wang, Dianhui, et al.
Published: (2002)

Protein Classification Using Neural Networks : A Review
by: Lee, Nung Kion, et al.
Published: (2005)

SOMIX: Motifs Discovery in Gene Regulatory Sequences Using Self-Organizing Maps
by: Lee, Nung Kion, et al.
Published: (2010)

Optimization of MISCORE-based Motif Identification Systems
by: Lee, Nung Kion, et al.
Published: (2009)

SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model
by: Lee, Nung Kion, et al.
Published: (2011)

Neural Network Application in biological sequence analysis and currency prediction - Case Studies
by: Lee, Nung Kion
Published: (2014)

Realization of Generalized RBF Network
by: Lee, Nung Kion, et al.
Published: (2003)

MISCORE: Mismatch-Based Matrix Similarity Scores for DNA Motif Detection
by: Wang, Dianhui, et al.
Published: (2009)

Computational Discovery of Motifs Using Hierarchical Clustering Techniques
by: Wang, Dianhui, et al.
Published: (2008)

Evaluation of Convolutionary Neural Networks Modeling of DNA Sequences using Ordinal versus one-hot Encoding Method
by: Chieng, Allen Hoon Choong, et al.
Published: (2017)

Evaluation of Convolutionary Neural Networks Modeling of DNA Sequences using Ordinal versus one-hot Encoding Method
by: Choong, Allen Chieng Hoon, et al.
Published: (2018)

Potential Perils of Biological Sequence Visualization using Sequence Logo
by: Lee, Nung Kion, et al.
Published: (2013)

MLP Neural Networks using Octave NN Package
by: Lee, Nung Kion
Published: (2015)

Human-like rule optimization for continuous domains
by: Hadzic, Fedja, et al.
Published: (2008)

Classification of information about proteins
by: Sidhu, Amandeep, et al.
Published: (2009)

Rule optimizing technique motivated by human concept formation
by: Hadzic, Fedja, et al.
Published: (2008)

Pruning rules for optimal runway sequencing
by: de Maere, Geert, et al.
Published: (2017)

Decision Making Biases in using Sequence Logo Visualization
by: Lee, Nung Kion, et al.
Published: (2012)

Using fuzzy association rule mining in cancer classification
by: Mahmoodian, Sayed Hamid, et al.
Published: (2011)

Improving the Fuzzy Min-Max Neural Network with a K-nearest Hyperbox Expansion Rule for Pattern Classification
by: Mohammed, Mohammed Falah, et al.
Published: (2017)

Novel Art-Based Neural Network Models For Pattern Classification, Rule Extraction And Data Regression
by: Yap , Keem Siah
Published: (2010)

Protein sequences classification based on weighting scheme
by: Zaki, N. M., et al.
Published: (2005)

Diagnosis of hypoglycemic episodes using a neural network based rule discovery system
by: Chan, Kit Yan, et al.
Published: (2011)

A Hybrid Neural Network - Hidden Markov Model - Fuzzy Logic Method For Protein Classification
by: Chew, Martin Wooi Keat
Published: (2007)

Filtering of Background DNA Sequences Improves DNA Motif Prediction Using Clustering Techniques
by: Lee, Nung Kion, et al.
Published: (2013)

Sequence Logo Visualization based on Gestalt Perception – Novices vs Experts
by: Kok, Weiying, et al.
Published: (2016)

Evaluation and optimization of frequent association rule based classification
by: Izwan Nizal Mohd Shaharanee,, et al.
Published: (2014)

Optimization of fuzzy rules design using genetic algorithm
by: Wong, S.V., et al.
Published: (2000)

On-road sensor configuration design for traffic flow prediction using fuzzy neural networks and Taguchi method
by: Chan, Kit Yan, et al.
Published: (2013)

Classification of Protein Sequences using the Growing Self-Organizing Map
by: Ahmad, N.
Published: (2008)

Refinement of generated weighted fuzzy production rules by using fuzzy neural networks for stock market prediction.
by: Md. Sap, Mohd. Noor, et al.
Published: (2005)

Fuzzy linear bilevel optimization: solution concepts, approaches and applications
by: Zhang, G., et al.
Published: (2007)

Material classification of magnetic resonance images using neural fuzzy technique and fuzzy neural technique / by Mangalam Sankupellay
by: Sankupellay, Mangalam
Published: (2002)

Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
by: Zuwairie, Ibrahim, et al.
Published: (2014)

Modern fuzzy min max neural networks for pattern classification
by: Al Sayaydeh, Osama Nayel Ahmad
Published: (2019)

Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks
by: Chan, Kit Yan, et al.
Published: (2010)

Fuzzy Rules Optimization in Fuzzy Expert System for Machinability Data Selection: Genetic Algorithms Approach
by: Wong, Shaw Voon, et al.
Published: (2001)

Hybrid Computational Intelligence Models With Symbolic Rule Extraction For Pattern Classification
by: Quteishat, Anas Mohammad Ali
Published: (2008)