266 float CvANN_MLP::predict( const CvMat* _inputs, CvMat* _outputs ) const  in predict()  argument
278     if( !CV_IS_MAT(_inputs) || !CV_IS_MAT(_outputs) ||  in predict()
279         !CV_ARE_TYPES_EQ(_inputs,_outputs) ||  in predict()
280         CV_MAT_TYPE(_inputs->type) != CV_32FC1 &&  in predict()
281         CV_MAT_TYPE(_inputs->type) != CV_64FC1 ||  in predict()
282         _inputs->rows != _outputs->rows )  in predict()
286     if( _inputs->cols != layer_sizes->data.i[0] )  in predict()
293     n = dn0 = _inputs->rows;  in predict()
312         cvGetRows( _inputs, layer_in, i, i + dn );  in predict()
686 bool CvANN_MLP::prepare_to_train( const CvMat* _inputs, const CvMat* _outputs,  in prepare_to_train()  argument
712     if( !CV_IS_MAT(_inputs) || CV_MAT_TYPE(_inputs->type) != CV_32FC1 &&  in prepare_to_train()
713         CV_MAT_TYPE(_inputs->type) != CV_64FC1 || _inputs->cols != layer_sizes->data.i[0] )  in prepare_to_train()
727     if( _inputs->rows != _outputs->rows )  in prepare_to_train()
732         CV_CALL( sample_idx = cvPreprocessIndexArray( _sample_idx, _inputs->rows ));  in prepare_to_train()
737         count = _inputs->rows;  in prepare_to_train()
749             sw_count != count && sw_count != _inputs->rows )  in prepare_to_train()
763     ivecs.type = CV_MAT_TYPE(_inputs->type);  in prepare_to_train()
770         ivecs.data.ptr[i] = _inputs->data.ptr + idx*_inputs->step;  in prepare_to_train()
816 int CvANN_MLP::train( const CvMat* _inputs, const CvMat* _outputs,  in train()  argument
839     CV_CALL( prepare_to_train( _inputs, _outputs, _sample_weights,  in train()