Self organizing map and least square support vector machine method for river flow modelling

Self organizing map and least square support vector machine method for river flow modelling

Successful river flow time series forecasting is a primary goal and an essential procedure required in the planning and water resources management. River flow data are important for engineers to design, build and operate various water projects and development. The monthly river flow data taken from...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Ismail, Shuhaida
التنسيق:	أطروحة
اللغة:	English
منشور في:	2011
الموضوعات:	QA Mathematics
الوصول للمادة أونلاين:	http://eprints.utm.my/id/eprint/47986/24/ShuhaidaIsmailMFS2011.pdf
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

Empirical mode decomposition with least square support vector machine model for river flow forecasting
بواسطة: Ismail, Shuhaida
منشور في: (2016)

Dengue Outbreak Prediction Using Least Squares Support Vector Machines (LS-SVM)
بواسطة: Zuriani, Mustaffa
منشور في: (2010)

A public transport travel time prediction using least squares support vector machine
بواسطة: Sadat Zadeh, Seyed Mojtaba Tafaghod
منشور في: (2013)

Parameter estimation using least square method
بواسطة: Zamzuri, Hairi
منشور في: (2001)

Flood frequency analysis at ungauged sites in Peninsular Malaysia using least square support vector machine
بواسطة: Roselan, Nur Shahidah
منشور في: (2014)

Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
بواسطة: Zuriani, Mustaffa
منشور في: (2014)

Modelling river stream flow using support vector machine
بواسطة: Ali, Rafidah
منشور في: (2012)

Short-term load forecasting using least squares support vector machine / Abdul Zamer Afiq Abd Razak
بواسطة: Abd Razak, Abdul Zamer Afiq
منشور في: (2014)

Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz
بواسطة: Aziz, Muhammad Aidil Adha
منشور في: (2019)

Least-squares finite element method for solving stokes equation with a point source magnetic field
بواسطة: Che Ayob, Alia Rafiza
منشور في: (2022)

Reduced Fuzzy Recursive Least-Squares Algorithm For Real Time Estimation
بواسطة: Cheah, Kah Wai
منشور في: (2018)

Application of least square method and conjugate gradient method for solving second order differential equation / Nur Fatonah Kamsani
بواسطة: Kamsani, Nur Fatonah
منشور في: (2018)

Combine holts winter and support vector machines in forecasting time series
بواسطة: Salisu, Alfa Mohammed
منشور في: (2013)

Forecasting revenue passenger enplanements using wavelet-support vector machine
بواسطة: Zainuddin, Mohamad Aiman
منشور في: (2015)

Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
بواسطة: Mohammed, Aldulaimi Haydar Imad
منشور في: (2017)

Research of HFMD data using least square method and Interpolation method / Nik Hilwani Athirah Nik Din and Nor Azimah Husain
بواسطة: Nik Din, Nik Hilwani Athirah, وآخرون
منشور في: (2019)

An application of Least Square method and Steepest Descent method for solving second order differential equation / Nurun Najwa Mohd Faizail
بواسطة: Mohd Faizail, Nurun Najwa
منشور في: (2018)

An application of predicting student performance using kernel k-means and smooth support vector machine
بواسطة: Sajadin, Sembiring
منشور في: (2012)

Incorporating optimized local protein structures and granular support vector machines for structural class prediction
بواسطة: Hassan, Rohayanti
منشور في: (2011)

Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space
بواسطة: Muhammad, Aminu
منشور في: (2021)

Estimating the population of the endangered animal (Tapir) in Peninsular Malaysia by using runge-kutta method and least square method / Amy Nur Aisyah Mohd Halil
بواسطة: Mohd Halil, Amy Nur Aisyah
منشور في: (2021)

Discovering Genomic Patterns Using Fuzzy Self Organizing Map
بواسطة: Chu , Ho Yi
منشور في: (2009)

Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm
بواسطة: Nur Azulia, Kamarudin
منشور في: (2019)

Support vector machines based methods for time series forecasting /
بواسطة: Cao, Lijuan
منشور في: (2002)

Machine Learning Of Melodies Through Hierarchical Self-Organizing Maps
بواسطة: Hean, Edwin Law Hui
منشور في: (2010)

An analytical study of the flow-induced vibration of square-sectioned cylinder /
بواسطة: Goh, Eng Yew
منشور في: (1990)

A Weighted Least Squares Estimation Of The Polynomial Regression Model On Paddy Production For The Muda Agriculture And Development Authority (Mada) Area
بواسطة: Musa, Rosliza
منشور في: (2016)

Analysis of least squares smoothing operators in the frequency domain /
بواسطة: Leong, Lap Sau
منشور في: (1972)

Error correction method of wideband multi-port reflectometer using least mean square
بواسطة: Che Yob, Rashidah
منشور في: (2014)

Simulating tripping characteristic of circuit breakers using least square method / Natasha Hashim
بواسطة: Hashim, Natasha
منشور في: (2009)

Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
بواسطة: Abdul Rahim, Nur Azimah
منشور في: (2018)

An improved self organizing map using jaccard new measure for textual bugs data clustering
بواسطة: Ahmed, Attika
منشور في: (2018)

Support vector machine for solving imbalanced dataset problem
بواسطة: Mohd. Khairuddin, Ismail
منشور في: (2012)

Anomaly behavior detection using flexible packet filtering and support vector machine algorithms
بواسطة: Abdul Wahid, Mohammed N.
منشور في: (2016)

A novel least squares based algorithm for non-stationary environments and zero tracking techniques for two-dimensional arrays /
بواسطة: Sheng, Yong
منشور في: (1997)

Email categorization using support vector machine
بواسطة: Mohd. Daud, Mariah
منشور في: (2004)

Support Vector Machine For Forecasting Currency Rates
بواسطة: Dovdon, Gankhuyag
منشور في: (2003)

Support Vector Machine For Forecasting Currency Rates
بواسطة: Dovdon, Gankhuyag
منشور في: (2003)

Data Mining Using Support Vector Machines
بواسطة: Chamasemani, Fereshteh Falah
منشور في: (2011)

Sentiment analysis on national cultural tourism using Linear Support Vector Machine (LSVM) / Nur Haida Hanna Samsuddin
بواسطة: Samsuddin, Nur Haida Hanna
منشور في: (2020)

Services hosted by the Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia with Cooperation MySyL Group