基于模拟退火遗传算法优化BP神经网络的钢带厚度预测.zip

[{"title":"（ 11 个子文件 72KB ） 基于模拟退火遗传算法优化BP神经网络的钢带厚度预测.zip","children":[{"title":"基于模拟退火遗传算法优化BP神经网络的钢带厚度预测","children":[{"title":"test.m <span style='color:#111;'> 588B </span>","children":null,"spread":false},{"title":"train_data.xlsx <span style='color:#111;'> 57.31KB </span>","children":null,"spread":false},{"title":"Main_GASABP20190903.m <span style='color:#111;'> 7.32KB </span>","children":null,"spread":false},{"title":"Decode.m <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"test_data.xlsx <span style='color:#111;'> 10.75KB </span>","children":null,"spread":false},{"title":"Code.m <span style='color:#111;'> 1.37KB </span>","children":null,"spread":false},{"title":"objfun_BP.m <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"CalcPerf.m <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"Mutation.m <span style='color:#111;'> 3.64KB </span>","children":null,"spread":false},{"title":"Select.m <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"Cross.m <span style='color:#111;'> 5.75KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]