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The synchronized collaborative design within heterogeneous CAD systems becomes a significant challenge because of the great difference in the modeling operations and underground data structures between different CAD systems. A feasible way is to build a neutral operation to aid the conversion of operations among different CAD systems. This paper first proposes a collaborative architecture with heterogeneous...
This paper, taking the Shanghai Stock Exchange (SSE) Composite Index as the sample, constructs ARCH models under the assumptions of normal residuals and non-normal residuals and compares the forecast performances of volatility of normal and non-normal ARCH models and the performance of VaR measure to demonstrate the effects of the distribution assumptions on GARCH model's forecasting ability and risk...
Traditional reinforcement learning algorithm can only solve the learning problem of the intelligent agent with discrete state space and discrete action space. This paper studies the coordination of multiple intelligent agents in a complicated dynamic environment with uncertainty. A coordination model based on the fuzzy Q-learning technique is suggested. This model uses fuzzy logic to generalize the...
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