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Prototype is the prototype.But then again, It is not entirely true to say that the fire cut-off at position 142 is exactly the same as that at position 169. Because in addition to the large consumption of ammunition, There is also a major reason: It was at that time that some comrades of the reconnaissance troops found out that the Vietnamese army had failed to sneak attack. Pull a large number of large caliber artillery prepared in advance out of the woods, Prepare to support the infantry that stormed various positions. After this message is delivered to the rear, The first task of our artillery group changed from blocking the Vietnamese attack to suppressing and destroying the Vietnamese artillery group. The two sides started an artillery battle over this, Although it is said that our artillery is not only in terms of performance but also in terms of quantity, Both of them had an overwhelming advantage, coupled with the precise positioning of the comrades of the reconnaissance troops, so it took 20 minutes to complete the complete elimination of the Vietnamese artillery group. Later, I also saw in a military magazine that when the artillery battle was the most intense, some artillery comrades who pulled the bolt swollen their arms. It is conceivable how fierce the fight was. " Li Haixin said.　　Facebook Watch宣布续订恐怖题材剧《#白桦树# The Birch》的第二季。10集新季会有Xaria Dotson回归饰演Evie Grayson一角。天哪，曾经那么儒雅的二叔，如今倒跟马帮的贩马汉子一样。官场是人生的竞技场，为官从政自古以来都是智慧与权力较量的最高境界。本片讲述一个乡土小县班子调整时，某些人将此变成权力争夺的舞台，明争暗斗演绎出形形色色的故事。Considering N categories C1, C2 …, CN, the basic idea of multi-classification learning is "disassembly method", that is, multi-classification tasks are disassembled into several two-classification tasks to solve. Specifically, the problem is split first, and then a classifier is trained for each split second classification task. During the test, the prediction results of these classifiers are integrated to obtain the final multi-classification results. The key here is how to split multiple classification tasks and how to integrate multiple classifiers.