Effective approximation of high-dimensional space using neural networks
J Zheng, J Wang, Y Chen, S Chen, J Chen… - The Journal of …, 2022 - Springer
Because of the curse of dimensionality, the data in high-dimensional space hardly afford
sufficient information for neural networks training. Hence, this is a tough task to approximate …
sufficient information for neural networks training. Hence, this is a tough task to approximate …
Neural networks trained with high-dimensional functions approximation data in high-dimensional space
J Zheng, J Wang, Y Chen, S Chen… - Journal of Intelligent …, 2021 - content.iospress.com
Neural networks can approximate data because of owning many compact non-linear layers.
In high-dimensional space, due to the curse of dimensionality, data distribution becomes …
In high-dimensional space, due to the curse of dimensionality, data distribution becomes …