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Analysis of Robocode Robot Adaptive Confrontation Based on Zero-Sum Game
The confrontation of modern intelligence is to some extent a non-complete information confrontation, where neither side has access to sufficient information to detect the deployment status of the adversary, and then it is necessary for the intelligence to complete information retrieval adaptively and develop confrontation strategies in the confrontation environment.
Analysis of OODA Loop based on Adversarial for Complex Game Environments
In the validation process, the OODA loop theory is used to describe the operation process of the complex system between red and blue sides, and the four-step cycle of observation, judgment, decision and execution is carried out according to the number of armor of both sides, and then the OODA loop system adjusts the judgment and decision time coefficients for the next confrontation cycle according to the results of the first cycle.
Analysis of the Production Strategy of Mask Types in the COVID-19 Environment
After the research and analysis of the production strategy of mask types, it has a positive effect on how to guide the resumption of work and production.
Neural Network Structure Design based on N-Gauss Activation Function
Recent work has shown that the activation function of the convolutional neural network can meet the Lipschitz condition, then the corresponding convolutional neural network structure can be constructed according to the scale of the data set, and the data set can be trained more deeply, more accurately and more effectively.
