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A hybrid forecasting model of cassava price based on artificial neural network with support vector machine technique

Polyiam, Korawat, Boonrawd, Pudsadee (2017)

of cassava price based on the 11-year data (from 2005 to 2015) obtained from the Thai Tapioca Starch Association and Office of Agricultural Economics. Various techniques were applied for the forecast such as Artificial Neural Network; Support Vector Machine... that Hybrid Technique demonstrated the lowest value of error followed by Artificial Neural Network; k-Nearest Neighbor and Support Vector Machine; respectively. Therefore; it could be concluded that using the Hybrid Technique to forecast the price of cassava

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āļāļēāļĢāļ•āļĢāļ§āļˆāđ€āļ—āļĩāļĒāļšāļ āļēāļĒāļ™āļ­āļāļŦāļēāļāļēāļĢāļĨāļąāļāļĨāļ­āļāđƒāļ™āļ‡āļēāļ™āļ§āļīāļŠāļēāļāļēāļĢāđ‚āļ”āļĒāđƒāļŠāđ‰āđāļšāļšāļˆāļģāļĨāļ­āļ‡āļ‹āļąāļžāļžāļ­āļĢāđŒāļ•āđ€āļ§āļāđ€āļ•āļ­āļĢāđŒāđāļĄāļŠāļŠāļĩāļ™āđāļĨāļ°āļāļēāļĢāļ§āļąāļ”āļ„āđˆāļēāļ„āļ§āļēāļĄāļĨāļ°āļĄāđ‰āļēāļĒāļ‚āļ­āļ‡āļ‚āđ‰āļ­āļ„āļ§āļēāļĄ

āļĻāļļāļ āļ§āļąāļˆāļ™āđŒ āđāļ•āđˆāļĢāļļāđˆāļ‡āđ€āļĢāļ·āļ­āļ‡, Supphawat Thaerungrueng (2017)

vector machine model and text similarity measurement. The third is to evaluate the effectiveness of the prototype system developed in 2 aspects: the suitability of the input characteristics to be used in the system and the suitability of the features used...This research is based on 4 objectives: first, to analyze the linguistic features used to classify plagiarized text and non-plagiarized text. The next is to develop a prototype system for extrinsic academic plagiarism detecting using a support

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Comparison of prediction models for road deaths on road network

Whasphutthisit, Thaninthorn, Jitsakul, Watchareewan (2022)

This paper presents to compare prediction models for road deaths on road network by data mining techniques. In this work; the classifier is selected from four prediction algorithms: Random Forest (RF); Support Vector Machine (SVM); K-Nearest

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āļāļēāļĢāđāļĒāļāļ­āļ™āļļāļžāļēāļāļĒāđŒāļ āļēāļĐāļēāđ„āļ—āļĒāļ”āđ‰āļ§āļĒāļāļēāļĢāđƒāļŠāđ‰āđāļšāļšāļˆāļģāļĨāļ­āļ‡āļ‹āļąāļžāļžāļ­āļĢāđŒāļ•āđ€āļ§āļāđ€āļ•āļ­āļĢāđŒāđāļĄāļŠāļŠāļĩāļ™

āļ™āļĨāļīāļ™āļĩ āļ­āļīāļ™āļ•āđŠāļ°āļ‹āļēāļ§, Nalinee Inthasaw (2013)

The purposes of this study are to find out linguistic features to be used in Thai clause segmentation using support vector machine (SVM) model as well as to compare efficiency of those features on clause segmentation system. The corpus used