Technology Trends of Virtual Augmented Reality and Application to Military Education and Training

A Method of Applying Virtual Reality Converged Remote Platform Based on Crawfish Optimization Algorithm to Improve ESN Network

“…The integration effect analysis methods mainly include random forest, support vector machine, neural network, deep learning, intelligent optimization algorithm and other methods [9]. Literature [10] used various types of distance learning data, combined with the random forest algorithm, to build a fusion distance platform effect analysis model; literature [11] explored the impact of diversified virtual reality technology on the distance classroom, used the support vector regression algorithm to build the effect analysis model, verified the effectiveness of virtual reality technology teaching, and analyzed the effect value of the fusion of virtual reality technology in the distance classroom; literature [12 ] by exploring the combination of virtual reality and education on the modernization and intelligent promotion of teaching, designing a neural network-based effect analysis model, and verifying the effectiveness of the intelligent effect analysis method in the fusion remote platform; Literature [13] designed a cloud-based virtual operating platform, combined with the machine learning method, to develop the analysis program of virtual reality fusion remote platform, and verified the feasibility of quantifying the effect; Literature [14] proposed a remote teaching evaluation method based on decision tree algorithm, while combining virtual reality technology, analyzed the application integration effect, thus improving the quality of teaching; literature [15] extracted the virtual reality technology fusion remote platform effect analysis indexes by dividing and established the virtual reality technology fusion remote platform evaluation model based on the intelligent optimization algorithm optimization and improvement of machine learning, to provide a new analysis method for the effect analysis method ideas; Literature [16] combines integrated learning technology and deep learning technology to propose a virtual reality technology fusion intelligent remote platform effect analysis model based on virtual reality technology, which verifies the efficiency of integrated learning and deep learning technology. For the above literature analysis, the existing integration effect analysis methods have the following defects [18]:…”