Patent ID: 11861210
Assignee: SHENZHEN DAPU MICROELECTRONICS CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. The computer device of claim 7, wherein obtaining the I/O prediction results of the first future time period by using the at least one LSTM neural network with the feature values extracted from the at least one combined I/O operation, further comprises:
inputting the feature values extracted from the at least one combined I/O operation to an input fully connected layer of the at least one LSTM neural network in order to map the feature values to a high dimensional vector space using linear transformations, wherein the feature values are related to the I/O timestamp, the I/O type, and the I/O size;
forming a neuron set with at least one LSTM cell and feeding the feature values transformed from the high dimensional vector space to the neuron set to conduct computation; and
inputting computation result to an output fully connected layer of the at least one LSTM neural network and mapping the computation result to form feature values of an output dimension of a prediction result, wherein the feature values of the output dimension of the prediction result represent the I/O prediction results of the first future time period.