?? backprop.h
字號:
/* ****************************************************************** * HISTORY * 15-Oct-94 Jeff Shufelt (js), Carnegie Mellon University * Prepared for 15-681, Fall 1994. * ****************************************************************** */#ifndef _BACKPROP_H_#define _BACKPROP_H_#define BIGRND 0x7fffffff/*** The neural network data structure. The network is assumed to be a fully-connected feedforward three-layer network. Unit 0 in each layer of units is the threshold unit; this means that the remaining units are indexed from 1 to n, inclusive. ***/typedef struct { int input_n; /* number of input units */ int hidden_n; /* number of hidden units */ int output_n; /* number of output units */ double *input_units; /* the input units */ double *hidden_units; /* the hidden units */ double *output_units; /* the output units */ double *hidden_delta; /* storage for hidden unit error */ double *output_delta; /* storage for output unit error */ double *target; /* storage for target vector */ double **input_weights; /* weights from input to hidden layer */ double **hidden_weights; /* weights from hidden to output layer */ /*** The next two are for momentum ***/ double **input_prev_weights; /* previous change on input to hidden wgt */ double **hidden_prev_weights; /* previous change on hidden to output wgt */} BPNN;/*** User-level functions ***/void bpnn_initialize();BPNN *bpnn_create();void bpnn_free();void bpnn_train();void bpnn_feedforward();void bpnn_save();BPNN *bpnn_read();#endif
?? 快捷鍵說明
復(fù)制代碼
Ctrl + C
搜索代碼
Ctrl + F
全屏模式
F11
切換主題
Ctrl + Shift + D
顯示快捷鍵
?
增大字號
Ctrl + =
減小字號
Ctrl + -