We study a model of associative memory based on a neural network with small-world structure. 本文研究了基于小世界結構的神經(jīng)網(wǎng)絡(luò )中的聯(lián)想記憶模型。
By adopting the general model of associative memory and the iterative solution of NN, the artillery optimal operational proposal is analyzed and prioritized. 根據神經(jīng)網(wǎng)絡(luò )中聯(lián)想記憶的一般模型和迭代解法對炮兵作戰方案進(jìn)行分析和排序，并可運用計算機進(jìn)行處理，為炮兵指揮員的決策行為提供依據。
