Time Series Prediction Using Recurrent Neural Networks And Boosting: An Experimental Study In Pharmaceutical Product Formulation
Tesis ini berpusat pada perkembangan teknik Rangkaian Neural Buatan (ANN) dalam menyelesaikan masalah-masalah ramalan siri masa. Penyelidikan ini tertumpu kepada penggunaan·- rangkaian-rangkaian neural perulangan yang menyediakan satu kerangka yang menyeluruh bagi fonnulasi produk fannasi melalui...
| Main Author: | Goh, Wei Yee |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2002
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/30471/ http://eprints.usm.my/30471/1/GOHWEIYEE.pdf |
Similar Items
An Efficient Time Series Analysis for Pharmaceutical Sector Stock Prediction by Applying Hybridization of Data Mining and Neural Network Technique
by: Das, Debashish, et al.
Published: (2016)
by: Das, Debashish, et al.
Published: (2016)
Recurrent error-based ridge polynomial neural networks for time series forecasting
by: Hassan Saeed, Waddah Waheeb
Published: (2019)
by: Hassan Saeed, Waddah Waheeb
Published: (2019)
Recurrent neural network with backpropagation through time for speech recognition
by: Ahmad, A. M., et al.
Published: (2004)
by: Ahmad, A. M., et al.
Published: (2004)
Recurrence Analysis of Time Series
by: Chew, Kai Ye
Published: (2019)
by: Chew, Kai Ye
Published: (2019)
Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model
by: Pathan, R. K., et al.
Published: (2020)
by: Pathan, R. K., et al.
Published: (2020)
Severity prediction of traffic accidents with recurrent neural networks
by: Sameen, Maher Ibrahim, et al.
Published: (2017)
by: Sameen, Maher Ibrahim, et al.
Published: (2017)
Severity prediction of traffic accidents with recurrent neural networks
by: Sameen, Maher Ibrahim, et al.
Published: (2017)
by: Sameen, Maher Ibrahim, et al.
Published: (2017)
Unbalance failure recognition using recurrent neural network
by: M. M., Ruslan, et al.
Published: (2022)
by: M. M., Ruslan, et al.
Published: (2022)
HMLP,MLP and Recurrent Networks for Carbon Monoxide
Concentrations Forecasting: A Comparison Studies.
by: Raji, Usharani, et al.
Published: (2005)
by: Raji, Usharani, et al.
Published: (2005)
GCMT-189 An Efficient Time Series Analysis for Pharmaceutical Sector Stock Prediction by Applying Hybridization of Data Mining and Neural Network Technique
by: Das, Debashish, et al.
Published: (2015)
by: Das, Debashish, et al.
Published: (2015)
Performance Comparison Between HMLP, MLP And Recurrent Networks With Applications To Carbon Monoxide Concentrations Forecasting.
by: Raji, Usharani, et al.
Published: (2005)
by: Raji, Usharani, et al.
Published: (2005)
Performance Comparison Between HMLP, MLP And Recurrent Networks With Applications To Carbon Monoxide Concentrations Forecasting.
by: Raji, Usharani, et al.
Published: (2005)
by: Raji, Usharani, et al.
Published: (2005)
Improvement Of Landslide Prediction System Based On
Hybrid Neural Networks (Penang Island, Malaysia)
by: Shabib Hussien Alkhasawneh, Mutasem
Published: (2015)
by: Shabib Hussien Alkhasawneh, Mutasem
Published: (2015)
A comprehensive survey on pi-sigma neural network for time series prediction
by: Akram, Urooj, et al.
Published: (2017)
by: Akram, Urooj, et al.
Published: (2017)
Recurrent neural networks and proper orthogonal decomposition with interval data for real-time predictions of mechanised tunnelling processes
by: Freitag, S., et al.
Published: (2017)
by: Freitag, S., et al.
Published: (2017)
Using Recurrent Neural Networks and the Hilbert-Huang Transform for Stock Market Prediction
by: Moustra, Maria
Published: (2009)
by: Moustra, Maria
Published: (2009)
Black box nonlinear model predictive control using recurrent neural network
by: Hasan, Muhammad, et al.
Published: (2013)
by: Hasan, Muhammad, et al.
Published: (2013)
Prediction of flank wear and surface roughness by recurrent neural network in turning process
by: W. K., Lee, et al.
Published: (2021)
by: W. K., Lee, et al.
Published: (2021)
A modified weight optimisation for higher-order neural network in time series prediction
by: Husaini, Noor Aida
Published: (2020)
by: Husaini, Noor Aida
Published: (2020)
An improved Pi-Sigma neural network using error feedback for time series prediction
by: Akram, Urooj
Published: (2018)
by: Akram, Urooj
Published: (2018)
Prediction of classroom reverberation time using neural network
by: Zainudin, Fathin Liyana, et al.
Published: (2018)
by: Zainudin, Fathin Liyana, et al.
Published: (2018)
Software Toolkit For Designing An Artificial Neural Network.
by: Ahmad, M. A., et al.
Published: (2004)
by: Ahmad, M. A., et al.
Published: (2004)
Tracking system using neural network
by: Chong, Chee Moi
Published: (2019)
by: Chong, Chee Moi
Published: (2019)
Deep recurrent neural networks for supernovae classification
by: Charnock, Tom, et al.
Published: (2017)
by: Charnock, Tom, et al.
Published: (2017)
Carbon Monoxide Level Forecasting Using Neural Network.
by: Mamat, Mazlina, et al.
Published: (2002)
by: Mamat, Mazlina, et al.
Published: (2002)
Classification Of Breast Lesions Using Artificial Neural Network.
by: Mashor, M Y, et al.
Published: (2006)
by: Mashor, M Y, et al.
Published: (2006)
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data
by: Atik, Faysal, et al.
Published: (2022)
by: Atik, Faysal, et al.
Published: (2022)
Detection Of Misplaced And Missing Regions In Image Using Neural Network
by: Tan , Jin Siang
Published: (2017)
by: Tan , Jin Siang
Published: (2017)
Application Of The Fuzzy Min-Max Neural Networks To
Medical Diagnosis.
by: Quteishat, Anas Mohammad Ali, et al.
Published: (2008)
by: Quteishat, Anas Mohammad Ali, et al.
Published: (2008)
Performance Improvement Of Contactless Distance Sensors Using Neural Network
by: R., ABDUBRANI, et al.
Published: (2012)
by: R., ABDUBRANI, et al.
Published: (2012)
Pharmaceutical formulations as immunological adjuvants
by: O'Hagan, Derek Thomas
Published: (1987)
by: O'Hagan, Derek Thomas
Published: (1987)
Nonlinear Model Predictive Control of a Multistage Evaporator System using Recurrent Neural Networks
by: Atuonwu, J., et al.
Published: (2009)
by: Atuonwu, J., et al.
Published: (2009)
Single-Stage Led Drivers Based On Integrated Bcm Boost And Llc Converters For Street Lighting
by: Zawawi, Nurul Asikin
Published: (2017)
by: Zawawi, Nurul Asikin
Published: (2017)
3D Object Recognition Using Multiple Views And Neural Networks.
by: Mashor, M Y, et al.
Published: (2006)
by: Mashor, M Y, et al.
Published: (2006)
An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
by: Al-Batah, Mohammad Subhi Mohammad
Published: (2009)
by: Al-Batah, Mohammad Subhi Mohammad
Published: (2009)
Investigation And Development Of Convolutional Neural Network Based Image Splicing Detection
by: Md Hasim, Siti Mastura
Published: (2017)
by: Md Hasim, Siti Mastura
Published: (2017)
Hardware Implementation Of Artificial Neural Network On FPGA For Sulfate-Reducing Bacteria
by: Tan, Earn Tzeh
Published: (2014)
by: Tan, Earn Tzeh
Published: (2014)
MLP and Elman recurrent neural network modelling for the TRMS
by: Toha, Siti Fauziah, et al.
Published: (2008)
by: Toha, Siti Fauziah, et al.
Published: (2008)
Suspense scene detection using recurrent neural network
by: Lim, Sin Hui
Published: (2021)
by: Lim, Sin Hui
Published: (2021)
Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data
by: Zainuddin, Zarita, et al.
Published: (2011)
by: Zainuddin, Zarita, et al.
Published: (2011)
Similar Items
-
An Efficient Time Series Analysis for Pharmaceutical Sector Stock Prediction by Applying Hybridization of Data Mining and Neural Network Technique
by: Das, Debashish, et al.
Published: (2016) -
Recurrent error-based ridge polynomial neural networks for time series forecasting
by: Hassan Saeed, Waddah Waheeb
Published: (2019) -
Recurrent neural network with backpropagation through time for speech recognition
by: Ahmad, A. M., et al.
Published: (2004) -
Recurrence Analysis of Time Series
by: Chew, Kai Ye
Published: (2019) -
Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model
by: Pathan, R. K., et al.
Published: (2020)