Classic Space Efficient Capsules types with German engineering To address the shortcomings of standard convolutional neural networks (CNNs), the model structure is complex, the training period is lengthy, and the data processing technique is single. A modified capsule network is presented to optimize hierarchical convolution—the algorithm for identifying mental health conditions. To begin, two types of data processing are performed on the original robability of a crack hitting spherical capsules with a certain diameter calculated by Monte Carlo simulations, Huang attempted to investigate the effects of the dosage and the size of capsules on self-healing efficiency in capsule-based self-healing material. From the view of capsule shape, many researches on the healing