  Machine learning is a promising technique for many practical applications. In
this perspective, we illustrate the development and application for machine
learning. It is indicated that the theories and applications of machine
learning method in the field of energy conservation and indoor environment are
not mature, due to the difficulty of the determination for model structure with
better prediction. In order to significantly contribute to the problems, we
utilize the ANN model to predict the indoor culturable fungi concentration,
which achieves the better accuracy and convenience. The proposal of hybrid
method is further expand the application fields of machine learning method.
Further, ANN model based on HTS was successfully applied for the optimization
of building energy system. We hope that this novel method could capture more
attention from investigators via our introduction and perspective, due to its
potential development with accuracy and reliability. However, its feasibility
in other fields needs to be promoted further.
