Methodology
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Trine University *
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Information Systems
Date
Nov 24, 2024
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docx
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Uploaded by MasterScience9621
Methodology
In order to answer a specific research question or accomplish a particular research goal,
methodology refers to the general technique or plan utilized to conduct research and acquire
data. Within the framework of our study, the methodology pertains to the methodical and
organized procedure that will be utilized in order to categorize handwritten numbers utilizing the
Hopfield network (Reed et al., 2021).
The initial phase of this project's methodology would involve a comprehensive analysis
of the body of research on Hopfield networks, handwritten digit categorization, and neural
networks in general. This will assist in better comprehending the subject and locating any earlier
research that has been done in this field.
Defining the research topic and creating specific study objectives would be the following
steps. This will provide the study a structure and assist in identifying the precise duties and
procedures that must be completed.
The next step in the process will be data collecting, which will include a significant
amount of handwritten digit pictures. The Hopfield network will be trained and its performance
evaluated using this data. Finding appropriate datasets, getting permission to use them, and
making sure the data is accurate and pertinent to the study topic are all steps in the data gathering
process (Whang & Lee, 2020).
The Hopfield network itself will be the primary data analysis method used in this
research. The gathered data will be used to train the network, and several metrics including
accuracy, sensitivity, specificity, and precision will be used to assess how well it performs. To
evaluate the network's efficacy, its performance will also be contrasted with that of other
classification techniques.
The methodology's last phase would entail talking about the outcomes and making
judgments in light of them. This will entail assessing the methodology's advantages and
disadvantages critically and suggesting possible directions for future study.
A comprehensive literature review, data gathering, training and testing the Hopfield
network, analysis, and discussion of the findings will all be part of my research topic's approach.
Our goal in employing this technique is to present a thorough and exacting analysis of the
Hopfield network-based handwritten digit categorization.
References
Reed, M. S., Ferré, M., Martin-Ortega, J., Blanche, R., Lawford-Rolfe, R., Dallimer, M., &
Holden, J. (2021). Evaluating impact from research: A methodological
framework.
Research Policy
,
50
(4), 104147.
Whang, S. E., & Lee, J. G. (2020). Data collection and quality challenges for deep
learning.
Proceedings of the VLDB Endowment
,
13
(12), 3429-3432.
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