Search Result "Recursive Least-Square (RLS) algorithm"


Learning Methods

Ebook: Artificial Neural Systems: Principle and Practice
Volume: 1 Year: 2015
Author(s): Pierre Lorrentz
Doi: 10.2174/9781681080901115010008

Review Article

A Review on Artificial Intelligence Approaches and Rational Approaches in DrugDiscovery

Journal: Current Pharmaceutical Design
Volume: 29 Issue: 15 Year: 2023 Page: 1180-1192
Author(s): Anjana Vidya Srivathsa,Nandini Markuli Sadashivappa,Apeksha Krishnamurthy Hegde,Agasa Ramu Mahesh,Damodar Nayak Ammunje

Advancements in Predictive In Silico Models for ADME

Journal: Current Chemical Biology
Volume: 2 Issue: 3 Year: 2008 Page: 215-228
Author(s): Kamaldeep K. Chohan, Stuart W. Paine, Nigel J. Waters

Review Article

Sparse Underwater Wireless Channel Estimation Overview and Future Work

Journal: International Journal of Sensors, Wireless Communications and Control
Volume: 8 Issue: 2 Year: 2018 Page: 85-91
Author(s): Shihab Jimaa,Kok Keong Chai

Mini-Review Article

Review of Magnetic Resonance Imaging and Post-processing for the BrainTumor-related Epilepsy Study

Journal: Current Medical Imaging
Volume: 20 Issue: 1 Year: 2024 Page: 1-16
Author(s):

Review Article

Leveraging Artificial Intelligence for Synergies in Drug Discovery: FromComputers to Clinics

Journal: Current Pharmaceutical Design
Volume: 30 Issue: 28 Year: 2024 Page: 2187-2205
Author(s): Shubhini A. Saraf

Sequence-Based Methods for Real Value Predictions of Protein Structure

Journal: Current Bioinformatics
Volume: 3 Issue: 3 Year: 2008 Page: 183-196
Author(s): Lukasz Kurgan, Krzysztof Cios, Hua Zhang, Tuo Zhang, Ke Chen, Shiyi Shen, Jishou Ruan

Recent Development in Structural Damage Diagnosis and Prognosis

Journal: Recent Patents on Engineering
Volume: 4 Issue: 2 Year: 2010 Page: 102-121
Author(s): Xiaomo Jiang

Subject Index

Ebook: Computational Intelligence For Data Analysis
Volume: 1 Year: 2021
Author(s):
Doi: 10.2174/9781681089430121010011

Quantum Logic and Classical Connectivity

Ebook: Artificial Neural Systems: Principle and Practice
Volume: 1 Year: 2015
Author(s): Pierre Lorrentz
Doi: 10.2174/9781681080901115010007

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