Weather casting with Machine Learning (SVM and SRNN).
Dependencies: EthernetInterface GraphicHandler NTPClient SRNN SVM SensorModule mbed-rtos mbed
share.hpp
- Committer:
- yukari_hinata
- Date:
- 2015-02-16
- Revision:
- 1:8538381cae81
- Parent:
- 0:f6cdb984f638
- Child:
- 2:20ecfe6edd71
File content as of revision 1:8538381cae81:
#ifndef SHARE_H_INCLUDED #define SHARE_H_INCLUDED #define PREDICT_LENGTH (3) // 予測系列長 #define PREDICT_INTERVAL_TIME (1 * 60 * 60) // 予測間隔 : 1h #define LEN_DATA_SEQUENCE (100) // 観測データの履歴長 #define NUM_WEATHERS (4) // 気候の種類 #define DIM_SIGNAL (3) // 信号の次元(=センサの数) #define MCSVM_NUM_SAMPLES (200) // MCSVMのサンプル数 // 天候を表す列挙型 typedef enum { SHINY = 0, // 晴れ CLOUDY = 1, // 曇 RAINY = 2, // 雨 SNOWY = 3, // 雪 } WEATHER_STATUS; #endif /* SHARE_H_INCLUDED */