A hybrid genetic algorithm based approximate cash crop model with support vector machine classifier framework for predicting economic viability of underutilised crop in rural area

A hybrid genetic algorithm based approximate cash crop model with support vector machine classifier framework for predicting economic viability of underutilised crop in rural area

The research deals with developing a hybrid Genetic Algorithm based on approximate cash crop model framework to predict economic viability of underutilised crop in rural area using Support Vector Machine. Machine learning techniques are dependent on large amount of data in order to predict outcomes....

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Bibliographic Details
Main Author: Oh, Mei Shin
Format: Thesis (University of Nottingham only)
Language:English
Published: 2019
Online Access:https://eprints.nottingham.ac.uk/55811/

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