Preserving Positivity And Monotonicity Of Real Data Using Bézier-Ball Function And Radial Basis Function
In this thesis, a rational cubic Bézier-Ball function which refers to a rational cubic Bézier function expressed in terms of Ball control points and weights are used to preserve positivity and monotonicity of real data sets. Four shape parameters are proposed to preserve the characteristics of th...
| मुख्य लेखक: | Ahmad, Afida |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2018
|
| विषय: | |
| ऑनलाइन पहुंच: | http://eprints.usm.my/48694/ |
समान संसाधन
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G1 Range Restricted Data Interpolation Using
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The Condition Of Quadratic And Cubic Bezier Curves To
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Sifat Dan Rekabentuk Bagi Tampalan
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प्रकाशित: (1999)
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द्वारा: Isa, Syahirbanun
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प्रकाशित: (2013)
द्वारा: Yahya, Zainor Ridzuan
प्रकाशित: (2013)
Coefficient bounds for certain
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प्रकाशित: (2015)
द्वारा: Loh, Part Leam
प्रकाशित: (2015)
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समान संसाधन
-
Function Approximation Using Wavelet And Radial
Basis Function Networks
द्वारा: Ramli, Rabihah
प्रकाशित: (2004) -
Logic Programming In Radial Basis
Function Neural Networks
द्वारा: Hamadneh, Nawaf
प्रकाशित: (2013) -
Classification of breast cancer microarray data using radial basis function network
द्वारा: Mazlan, Umi Hanim
प्रकाशित: (2009) -
Radial basis function neural network learning with modified backpropagation algorithm
द्वारा: Tukur, Usman Muhammad
प्रकाशित: (2014) -
Learning enhancement of radial basis function network with particle swarm optimization
द्वारा: Sultan Noman, Qasem Mohammed
प्रकाशित: (2008)