Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory /

Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory /

Thesis (Master of Science (Computer Science)) - Universiti Teknologi Malaysia, 2003

Библиографические подробности
Главный автор:	189731 Satya Nanda Vel Arjunan
Формат:
Язык:	eng
Опубликовано:	Skudai : Universiti Teknologi Malaysia, 2003
Предметы:	Artificial neural networks
Online-ссылка:	http://www.psz.utm.my/sla/billing/login.asp?mid=42436

Схожие документы

Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory
по: Vel Arjunan, Satya Nanda
Опубликовано: (2003)

Classic works of the dempster-shafer theory of belief functions /
по: Yager, Ronald R., 1941-, и др.
Опубликовано: (2008)

Protein secondary structure prediction based on denoeux belief neural network /
по: 189731 Satya Nanda Vel Arjunan, и др.
Опубликовано: (2002)

Protein secondary structure prediction based on denoeux belief neural network /
по: 189731 Satya Nanda Vel Arjunan, и др.
Опубликовано: (2002)

Assignment of protein sequence to functional family using neural network & Dempster-Shafer theory
по: Zaki, N. M., и др.
Опубликовано: (2003)

Protein secondary structure prediction from amino acid sequence using artificial intelligence technique
по: Deris, Safaai, и др.
Опубликовано: (2005)

GHSOM intrusion detection based on Dempster-Shafer theory
по: Jie SU, и др.
Опубликовано: (2015-11-01)

GHSOM intrusion detection based on Dempster-Shafer theory
по: Jie SU, и др.
Опубликовано: (2015-11-01)

UTMPred : Ab initio eight-state protien secondary structure predictor /
по: 189731 Satya Nanda Vel Arjunan, и др.
Опубликовано: (2002)

Development of a robocup simulator team - T-Cells /
по: 189731 Satya Nanda Vel Arjunan
Опубликовано: (2000)

A new conflict management method in Dempster–Shafer theory
по: Jian Wang, и др.
Опубликовано: (2017-03-01)

Spark Plug Fault Recognition Based on Sensor Fusion and Classifier Combination using Dempster–Shafer Evidence Theory
по: R., Mamat, и др.
Опубликовано: (2015)

Dempster Shafer Untuk Sistem Diagnosa Gejala Penyakit Kulit Pada Kucing
по: Maura Widyaningsih, и др.
Опубликовано: (2017-04-01)

Weighted cooperative spectrum sensing algorithm based on dempster-shafer evidence theory
по: Ya-jian ZHOU, и др.
Опубликовано: (2012-12-01)

Weighted cooperative spectrum sensing algorithm based on dempster-shafer evidence theory
по: Ya-jian ZHOU, и др.
Опубликовано: (2012-12-01)

Literature Survey Of Protein Secondary Structure Prediction
по: Vel Arjunan, Satya Nanda, и др.
Опубликовано: (2001)

A probabilistic neural network data classifier /
по: 232113 Ahmadi Baharum
Опубликовано: (1995)

Multisensor Data Fusion for Water Quality Evaluation Using Dempster-Shafer Evidence Theory
по: Jian Zhou, и др.
Опубликовано: (2013-11-01)

A Tunnel Fire Detection Method Based on an Improved Dempster-Shafer Evidence Theory
по: Haiying Wang, и др.
Опубликовано: (2024-10-01)

Estimation of Driver Lane Change Intention Based on the LSTM and Dempster–Shafer Evidence Theory
по: Zhi-Qiang Liu, и др.
Опубликовано: (2021-01-01)

ENSEMBLE SUPPORT VECTOR MACHINES AND DEMPSTER-SHAFER EVIDENCE THEORY FOR MACHINERY MULTI FAULT DIAGNOSIS /
по: Hui Kar Hoou,‡ 984-, author 654206, и др.
Опубликовано: (2019)

ENSEMBLE SUPPORT VECTOR MACHINES AND DEMPSTER-SHAFER EVIDENCE THEORY FOR MACHINERY MULTI FAULT DIAGNOSIS /
по: Hui Kar Hoou, 1984-, author 654206, и др.
Опубликовано: (2019)

Development of a hybrid AHP and Dempster-Shafer theory of evidence for project risk assessment problem
по: Albogami, Saad M., и др.
Опубликовано: (2021)

Distributed multi‐station target tracking based on unscented particle filter and Dempster‐Shafer theory
по: Haoxuan Du, и др.
Опубликовано: (2024-09-01)

Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network
по: Mei-ting YU, и др.
Опубликовано: (2014-03-01)

Assessment on Knowledge Network Sharing Capability of Industrial Cluster Based on Dempster-Shafer Theory of Evidence
по: Shengli Dai, и др.
Опубликовано: (2014-01-01)

Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network
по: Mei-ting YU, и др.
Опубликовано: (2014-03-01)

Weighted fuzzy track association method based on Dempster–Shafer theory in distributed sensor networks
по: Lixin Fan, и др.
Опубликовано: (2016-07-01)

A Dempster-Shafer theory based witness trustworthiness model to cope with unfair ratings in e-marketplace
по: Kot, Alex Chichung, и др.
Опубликовано: (2013)

Risk assessment of groundwater pollution with a new methodological framework: application of Dempster-Shafer theory and GIS
по: Neshat, Aminreza, и др.
Опубликовано: (2015)

Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos
по: Mezaal, Al-Karawi Mustafa Ridha, и др.
Опубликовано: (2017)

A Ranking Procedure by Incomplete Pairwise Comparisons Using Information Entropy and Dempster-Shafer Evidence Theory
по: Dongbo Pan, и др.
Опубликовано: (2014-01-01)

Closed-form interpretation of neural network classifiers with symbolic gradients
по: Sebastian J Wetzel
Опубликовано: (2025-01-01)

SISTEM PAKAR UNTUK DIAGNOSIS PENYAKIT PADA JAMUR DENGAN MENGGUNAKAN METODE VCIRS DAN DEMPSTER SHAFER
по: , TRISMAYANTI DWI P, и др.
Опубликовано: (2014)

Aplikasi sistem informasi geografis dan teori Dempster-Shafer sebagai sistem deteksi dini penyakit unggas
по: , MASELENO, Andino, и др.
Опубликовано: (2009)

Research on the Circuit Breaker State Judgment Method Based on Ant Colony Optimization Dempster-Shafer Evidence Theory
по: Qian Zhang, и др.
Опубликовано: (2025-02-01)

Trapezoidal Intuitionistic Fuzzy Multiattribute Decision Making Method Based on Cumulative Prospect Theory and Dempster-Shafer Theory
по: Xihua Li, и др.
Опубликовано: (2014-01-01)

Using Dempster-Shafer Evidence Theory and Choquet Integral for Image Segmentation in Gas-Liquid Two-Phase Flow
по: Shihong Yue, и др.
Опубликовано: (2009-01-01)

Advanced Risk Assessment for Deep Excavation in Karst Regions Using Improved Dempster–Shafer and Dynamic Bayesian Networks
по: Zhenyu Lei, и др.
Опубликовано: (2024-09-01)

Ship collision risk assessment: a multi-criteria decision-making framework based on Dempster–Shafer evidence theory
по: Wang, Nanxi, и др.
Опубликовано: (2024)