Intelligent Identification and Prediction Mineral Resources Deposit Based on Deep Learning

Prediction of mineral deposit model and identification of mineralization trend in depth using frequency domain of surface geochemical data in Dalli Cu-Au porphyry deposit

In this research work, the frequency domain (FD) of surface geochemical data was analyzed to decompose the complex geochemical patterns related to different depths of the mineral deposit. In order to predict the variation in mineralization in the depth and identify the deep geochemical anomalies and blind mineralization using the surface geochemical data for the Dalli Cu-Au porphyry deposit, a ...

Intelligent identification of vehicle’s dynamics based on local model network

This paper proposes an intelligent approach for dynamic identification of the vehicles. The proposed approach is based on the data-driven identification and uses a high-performance local model network (LMN) for estimation of the vehicle’s longitudinal velocity, lateral acceleration and yaw rate. The proposed LMN requires no pre-defined standard vehicle model and uses measurement data to identif...

Mineral Deposit Studies

A Research on Vehicle Identification based on Deep Learning

In order to confirm the domestic license plate damage, fake brand car and clone car, the vehicle specific information mainly rely on artificial experience for recognition, as well as the vehicle manufacturers to produce more models not effectively identify a problem on issues such as the introduction of models, deep learning theory, puts forward a specific vehicle sub deep learning does not dep...

An intelligent e-learning system based on learner profiling and learning resources adaptation

Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learning systems do not generally adapt to learners’ profiles. Learners have to spend a lot of time before reaching the learning goal that is compatible with their knowledge background. To overcome such difficulties, an e-l...