TL-GDBN: Growing Deep Belief Network With Transfer Learning
TL-GDBN: Growing Deep Belief Network With Transfer Learning is a scholarly work, published in 2019 in ''IEEE Transactions on Automation Science and Engineering''. The main subjects of the publication include deep belief network, convergence, deep learning, artificial intelligence, transfer learning, artificial neural network, domain, process, backpropagation, extreme learning machine, transfer of learning, benchmark, water quality, machine learning, and computer science. The paper presents a growing deep belief network (DBN) with TL to improve the training effectiveness and determine the optimal model size.