H. Zhou’s scientific contributions

... The ELM is a fast and efficient algorithm that uses a randomly generated input layer and a single hidden layer to establish a nonlinear mapping between inputs and outputs. The output layer weights can be easily calculated through a linear regression [9]. The BPNN is capable of learning complex relationships between inputs and outputs, and can adapt well to new data. ...

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Drillability classification and identification for rock mass based on machine learning

... This technique is based on the Multi-Kernel ELM algorithm (MK-ELM) and is designed to address multi-classification problems effectively. The kernel learning method was introduced into the ELM to enhance the stability and generalization capability [89]. The kernel matrix Ω ELM , constructed to replace HH T , can be defined as shown in equation (3.6): ...

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From detailed acoustic analysis to AI: designing and developing advanced speech analysis tools