makefile

一个不错的GA-NN的神经网络模型的示范代码。适合入门学习

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SOURCES = $(ga_client_SOURCES) $(ga_server_SOURCES) $(ga_server_remote_SOURCES) $(nn_agr_SOURCES) $(nn_exec_SOURCES) $(nn_init_SOURCES)

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ga_server_SOURCES = ga_server.c \
 rwn.c \
 read_neuron_array.c \
 get_fitness.c \
 mate.c \
 toss.c \
 dice_toss.c \
 coin_toss.c \
 copy_neuron_array.c \
 region_gen.c \
 inner_neuron.c \
 near_neuron.c \
 copy_neuron.c \
 isolate_region.c \
 remove_neuron.c \
 append_neuron.c \
 mutate_neuron.c \
 mutate_neuron_array.c \
 free_neuron_array.c \
 dwrite_neuron_array.c \
 load_ga_server_config.c \
 rand_gen.c \
 roulette.c \
 inner.c \
 sort_neuron_array.c \
 sort_neuron_connections.c \
 write_ga_server_remote_config.c \
 clean_char_buffer.c \
 my_header.h \
 aux_prot.h

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 read_ga_server_remote_config.c \
 my_header.h \
 aux_prot.h 

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 load_nn_config.c \
 dice_toss.c \
 read_neuron_array.c \
 fwrite_neuron_array.c \
 free_neuron_array.c \
 load_num_neuron.c \
 load_neuron_array.c \
 my_header.h \
 aux_prot.h

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 rwn.c \
 load_nn_config.c \
 load_num_neuron.c \
 load_neuron_array.c \
 sort_neuron_array.c \
 load_input.c \
 load_output.c \
 forward_propagation.c \
 output_layer_error.c \
 back_propagation.c \
 weight_update.c \
 fwrite_neuron_array.c \
 dwrite_neuron_array.c \
 sort_neuron_connections.c \
 der.c \
 threshold.c \
 my_header.h \
 aux_prot.h

nn_init_SOURCES = nn_init_generator.c \
 rand_gen.c \
 coin_toss.c \
 dice_toss.c \
 my_header.h \
 aux_prot.h

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 rand_gen.c \
 coin_toss.c \
 dice_toss.c \
 load_num_neuron.c \
 load_neuron_array.c \
 append_neuron.c \
 fwrite_neuron_array.c \
 copy_neuron_array.c \
 copy_neuron.c \
 free_neuron_array.c \
 sort_neuron_array.c \
 sort_neuron_connections.c \
 my_header.h \
 aux_prot.h

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