Radial basis function neural network algorithm for the case is less than or equal to 2-dimensional input

Radial Basis Function Network_适用于小于等于2维输入情形\license.txt
.......................................................\rbf_1_02\.DS_Store
.......................................................\........\example.m
.......................................................\........\license.txt
.......................................................\........\rbfn_integral.m
.......................................................\........\rbf_integral.m
.......................................................\........\sim_rbf.m
.......................................................\........\train_rbf.m
.......................................................\__MACOSX\._rbf_1_02
.......................................................\........\rbf_1_02\._.DS_Store
.......................................................\........\........\._example.m
.......................................................\........\........\._license.txt
.......................................................\........\........\._rbfn_integral.m
.......................................................\........\........\._rbf_integral.m
.......................................................\........\........\._sim_rbf.m
.......................................................\........\........\._train_rbf.m
.......................................................\........\rbf_1_02
.......................................................\rbf_1_02
.......................................................\__MACOSX
Radial Basis Function Network_适用于小于等于2维输入情形

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