It considers point, line and interfacial defects in the context of structural transformations including annealing, spinodal decomposition, nucleation, growth, and particle coarsening.

其中会讨论在退火、旋节点分解、成核、成长以及粒子粗粒化等结构转变之过程中，所涉及的点、线和面的缺陷。

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Improving BP neural network with simulated annealing algorithm can overcome the defect of falling into local optimal point easily, and further improve the network performance.

用模拟退火算法改进BP神经网络，克服了BP神经网络极易陷入局部最优点的缺点，进一步提高了网络的性能。

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Here is the work principle, main point of design and the schematic drawing of annealing installment.

给出了退火装置的工作原理，设计要点和结构示意图。

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