readme.txt

免疫算法实现多峰、多极值函数平面曲面拟合

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具体文件对应内容：
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main.m：解决静态拟合问题
dymaic_main.m：解决动态拟合问题
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rosen.m：生成固定样本函数
drosen.m：生成动态样本函数
hia.m：解决静态问题时所使用的递阶免疫算法函数
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crossover.m：解决静态问题时所递阶免疫算法所调用的交叉函数
rs_mutation.m：解决静态和动态问题时所递阶免疫算法所调用的上层基因变异函数
sg_mutation.m：解决静态问题时所递阶免疫算法所调用的下层基因变异函数
randomize.m：算法个体调整函数
fitness.m：计算自适应函数
find_error.m：解决动态问题时确定粗拟合节点函数，对应动态拟合问题第1步
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matlabhia*.mat：采用递阶免疫算法解决静态问题最终结果，*内容对应1,2,3
matlabseatry*.mat：采用递阶免疫算法解决动态问题最终结果，*内容对应1,2....16
dy*.mat：1,2为1000次样本变化实验数据，3,4为500次网络调整数据
resultold.mat：原始递阶免疫算法结果
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算法执行顺序：
main.m----->dymaic_main.m
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算法调用关系
			| rosen.m
			| hia.m
			| sea.m
			| crossover.m
main--------------------| rs_mutation.m
			| sg_mutation.m
			| randomize.m
			| fitness.m
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算法数据保存格式:
result*：最终网络结果，*内容对应2,3,4，其中run.m为4，run_again为3，run_again_again为2
pro*：自适应函数变化曲线，*内容对应2,3,4，其中run.m为4，run_again为3，run_again_again为2
t_x,t_y：训练样本
te_x,te_y：测试样本
matlabhia3*:*内容为1,2,3....8，为NIA算法结果