performance of a product or project that meets its
intended use. In the future there will be many
opportunities, and this field will develop rapidly.
There are several possible solutions. Expert system is
one of them.
An expert system is an intelligent computer
program system that contains a large amount of
knowledge and experience at the level of experts in a
certain field. It can apply artificial intelligence
technology and computer technology to reason and
make judgments based on the knowledge and
experience in the system, simulate the decision-
making process of human experts, and solve complex
problems that require human experts to handle. In
short, an expert system is a computer program system
that simulates human experts solving domain
problems.
Another one is SHapley Additive exPlanations
(SHAP). SHAP interprets the output of any machine
learning model in a unified way. SHAP links game
theory with local interpretation, combining previous
methods, and attributing unique, consistent, and
locally accurate additive features based on expected
representation. Transfer learning, as the name
suggests, is the process of transferring the trained
model parameters to a new model to assist in its
training. Considering that most data or tasks are
correlated, transfer learning allows for the sharing of
already learned model parameters with new models.
This method accelerates and optimizes the model's
learning efficiency by leveraging existing knowledge,
rather than starting from zero like most networks.
4 CONCLUSION
This work completed a comprehensive review of
machine learning and deep learning in facial
expression recognition has been completed. Many
approaches such as machine learning, deep learning,
and ANN were investigated. Until now, there also are
many challenges and limitations. The first one is
Model complexity. The second one is Data quality
and reliability. Next one is Data quality and
reliability. Then another one is the balance between
interpretation and accuracy. The last one is User
understanding and trust. However, this paper has
relatively little discussion on application scenarios
such as how facial recognition is used in medical
settings, which can be considered in the future.
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