Search Results - (vectorization OR (functionalities OR (functionalized OR (functionality OR function))))

Kernel functions for the support vector machine: comparing performances on crude oil price data by Chiroma, Haruna, Abdulkareem, Sameem, Abubakar, Adamu, Herawan, Tutut

“…The performances of five (5) kernel functions of the support vector machine were compared. …”
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Prediction of cantilever retaining wall stability using optimal kernel function of support vector machine by Rohaya Alias, Siti Jahara Matlan, Aniza Ibrahim

“…The selection of the right Kernel function is very important so that the Support Vector Machine model can make good predictions. …”
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The Arens algebras of vector-valued functions by Ganiev, Inomjon, Egamberdiev, Odiljon

“…A class of Arens algebras of vector Banach algebra valued functions is considered. …”
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Prediction Of Air Pollution Index (API) And Water Quality Index (WQI) Using Support Vector Machine (SVM) by Leong, Wei Cong

“…After the best type of kernel function was chosen for API and WQI SVM models, the types of kernel function were further utilised to train the least square support vector machine (LS-SVM) models to compare the accuracy between SVM and LS-SVM models. …”
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An energy functional model by gradient vector-driven active contour for local fitted image segmentation by Wang, Jing, Hai, Tao, M. Nomani, Kabir

“…On this basis, a new energy functional is constructed to measure the flux of the gradient vector flow field through the active curve, and transform the image segmentation problem into the minimum value of the energy functional. …”
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Tuning Fuzzy Membership Functions To Improve Performance Of Vector Control Induction Motor Drives by Zulhisyam, Salleh, Marizan, Sulaiman, Rosli, Omar

“…This paper presents an effective strategy for tuning of fuzzy membership functions based on fuzzy logic controller approach for a vector controlled induction motor drives for high performance applications. …”
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Discriminant functions and multi-resolution analysis (MRA) for disease detection by Rijal, Omar Mohd, Noor, Norliza Mohd, Hussin, A, Ling, Ong E

“…A separate test group was then used to calculate misclassification probabilities. The feature vector selected, that is vector x, were the average and detail vectors from the MRA of the WFV. …”
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Compactness of the set of trajectories of the control system described by a Urysohn type integral equation with quadratic integral constraints on the control functions by Alias, Idham Arif, Huseyin, Nesir, Huseyin, Anar

“…The functions from the space L2([t0,θ];Rm) satisfying a quadratic integral constraint are chosen as admissible control functions. …”
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Smoothed functional algorithm with norm-limited update vector for identification of continuous-time fractional-order Hammerstein Models by Mok, Ren Hao, Mohd Ashraf, Ahmad

“…This article proposes an identification method of continuous-time fractional-order Hammerstein model using smoothed functional algorithm with a norm-limited update vector (NL-SFA). …”
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Support directional shifting vector: A direction based machine learning classifier by Kowsher, Md., Hossen, Imran, Tahabilder, Anik, Prottasha, Nusrat Jahan, Habib, Kaiser, Zafril Rizal, M Azmi

“…Here, we have used two shifting vectors named Support Direction Vector (SDV) and Support Origin Vector (SOV) to form a linear function. …”
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The Implementation of Fuzzy Logic Controller for Defining the Ranking Function on Malay Text Corpus by bin Rodzman, SB, Ismail, NK, Abd Rahman, N, Nor, ZM

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Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions by Zuwairie, Ibrahim, Mohd Zaidi, Mohd Tumari, Mohd Falfazli, Mat Jusof, Kian, Sheng Lim

“…Multi Objective Optimisation (MOO) problem involves simultaneous minimization or maximization of many objective functions. One of MOO algorithms is Vector Evaluated Particle Swarm Optimization (VEPSO) algorithm. …”
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Landslide risk zoning using support vector machine algorithm by Ghiasi V., Pauzi N.I.M., Karimi S., Yousefi M.

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A Hybrid of Functional Networks and Support Vector Machine Models for the Prediction of Petroleum Reservoir Properties by Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem

“…This paper presents an innovative hybrid of Functional Networks and Support Vector Machines (FN-SVM) as an improvement over an existing Functional Networks and Type-2 Fuzzy Logic (FN-T2FL) hybrid model. …”
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Integration of spectral information into support vector machine for land cover classification by Md. Sap, Mohd. Noor, Kohram, Mojtaba

“…These learning machines are based on classification of data through a kernel function. Classically these kernel functions are either based the Euclidean distance of two data vectors or their dot products. …”
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An empirical study of density and distribution functions for ant swarm optimized rough reducts by Pratiwi, Lustiana, Choo, Yun Huoy, Draman @ Muda, Azah Kamilah

“…However, the description and comparison of both functions are very limited. Hence, this paper compares the solution vector of ACO is represented by both density and distribution function to search for a better solution and to specify a probability functions for every particle (ant), and generate components of solution vector, which satisfy Gaussian distributions. …”
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The implementation of fuzzy logic controller for defining the ranking function on Malay text corpus by Bin Rodzman S.B., Ismail N.K., Rahman N.A., Nor Z.M.

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Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions by Badaruddin, Muhammad, Zuwairie, Ibrahim, Kamarul Hawari, Ghazali, Mohd Riduwan, Ghazali, Kian, Sheng Lim, Sophan Wahyudi, Nawawi, Nor Azlina, Ab. Aziz, Marizan, Mubin, Norrima, Mokhtar

“…In particular, a population of particles corresponds to one objective function to be minimized or maximized. Simultaneous minimization or maximization of every objective function is realized by exchanging a variable between populations. …”
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The effect of kernel functions on cryptocurrency prediction using support vector machines by Hitam, Nor Azizah, Ismail, Amelia Ritahani, Samsudin, Ruhaidah, Alkhammash, Eman H.

“…Furthermore, the availability of social media platforms contributes to the advancement of SVM re- search and the selection of SVM parameters. Using SVM kernel functions, this study examines the four kernel functions available: Linear, Radial Basis Gaussian (RBF), Polynomial, and Sigmoid kernels, for the purpose of cryptocurrency and foreign ex- change market prediction. …”
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Functional analyses of putative brassinosteroid insensitive 1-associated receptor kinase 1 and putative ethylene transcriptional coactivator from Malaysian indica rice variety (Oryza sativa L.)... by Khew, Choy Yuen

“…Functional analysis of OsI-BAK1 and OsI-ETC in this study has shed light on their biological functions in rice.…”
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