検索結果 - Kernel functions

Finding kernel function for stock market prediction with support vector regression (Full text)

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Boundary integral equation with the generalized Neumann Kernel for computing green's function for multiply connected regions 著者: Siti Zulaiha Aspon

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Meshfree modelling of thin plate bending using reproducing kernel particle method 著者: Tong, Desmond You Sheng

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An integral equation method for conformal mapping of doubly connected regions via the Kerzman-Stein and the Neumann Kernels 著者: Nurul Akmal Mohamed

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Integral equation approach for computing green's function on unbounded simply connected region 著者: Sheida Chahkandi Nezhad

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Optimization of dihydroxystearic acid synthesis from palm kernel oil based oleic acid using taguchi's method / Noorfazlida Mohamed 著者: Mohamed, Noorfazlida

“…This study looks to establish the process factor that will contribute to the enhancement of the reaction rate and yield of dihydroxy stearic acid (DHSA) formation from palm kernel oil based crude oleic acid. Previous studies showed high quality of DHSA can be produced at satisfactory yield in batches. …”
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Effects of chemical interesterification on the physicochemical properties and bioactive compounds of palm stearin, palm kernel oil and rice bran oil blends / Mohd Akram Zuher 著者: Zuher, Mohd Akram

“…The aims of this study were to determine the effects of chemical interesterification on physicochemical properties of palm stearin, palm kernel oil and rice bran oil blends and to optimise a fat blend for trans-free margarine that contained bioactive compounds without sacrificing the functional properties. …”
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Panduan penggunaan program zoom-A berdasarkan strategi pembelajaran aktif 著者: Mohd. Munir Baharom

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Fast numerical conformal mapping of bounded multiply connected regions via integral equations 著者: Lee, Khiy Wei

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Optimized local protein structure with support vector machine to predict protein secondary structure 著者: Chin, Yin Fai

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Autism children gait classification using intelligent techniques / Suryani Ilias 著者: Ilias, Suryani

“…The ability of SVM as classifier are investigated using three different kernel functions specifically linear, polynomial, and radial basis. …”
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Modified two-step method for stochastic differential equation's parameter estimation 著者: Nur Hashida Md. Lazim

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Development of trusted boot process for wireless sensor node using ARM11 platform / Lukman Hakim Adnan 著者: Adnan, Lukman Hakim

“…Alternative to that is to use embedded microprocessors with built-in security module, which implements functions similar to the TPM, on the embedded processor. …”
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Discrete adomian decomposition method for solving fredholm integral equations of the second kind 著者: Salar Hameed Mohammed

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Experimenting the aplicability of support vector machine regression in rainfall prediction 著者: Junaida Sulaiman

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An efficient and effective convolutional neural network for visual pattern recognition 著者: Liew, Shan Sung

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An optimized sparse Gaussian process model for RTK-GNSS dynamic measurement under short baseline and clear sky condition / Ravenny Sandin Anak Nahar 著者: Nahar, Ravenny Sandin

“…Subsequently, sparse GPR models were developed for each trajectory based on five types of kernel functions. The best performing kernel function was chosen to implement sparse GPR that could predict the x and y axes coordinates for each trajectory. …”
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EEG signal classification, and correlation analysis for actual and imaginary hand movement / Nabilah Hamzah 著者: Hamzah, Nabilah

“…For SVM classifier the analysis is divided into three types of kernel function i.e. Linear Kernel, Quadratic Kernel and Polynomial Kernel. …”
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Protein subcellular localization prediction of archaea using support vector machine predictor 著者: Loh, Swee Kuan

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An analysis using LS-SVM for diabetic classification 著者: Yong, Ann Ann

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