采用了改进的模拟退火技术对这种分布特性进行全局最优拟合曲线参数估计。
An advanced simulated annealing method is presented to estimate the global optimal parameters of fitting carves of target's dynamic distribution.
第二步是基于模型参数的图象分割算法，其核心是一个改进的多值模拟退火技术。
The second step is the image segmentation algorithm, whose key is the improved multiple-value simulated annealing technique.
提出利用神经网络和模拟退火技术来求解有约束的FMS资源调度问题的一种新方法。
In this paper, an approach for resource constrained FMS scheduling is described, which integrates Hopfield neural network and simulated annealing algorithm.
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