I have real time data to be trained by (adaptive neural fuzzy inference system) ANFIS and the result will be visualize and analysis in IoT. The system was already setup with the ANFIS , the real time data each 4second transmitted to the cloud (done already) should automated feed the Three input, single output Fuzzy Inference system FIS , then the result should appear in IoT thingspeak in both shape (graph & table).
The system should have ability to retrain himself based on the data type. All connections (sensors, gateway and IoT) have been setup and the data flow showing in the IOT cloud.
1- (ANFIS and FIS) to be build in the cloud "Three input, single output".
2- Automated train
3- Automated data flow entry to the FIS
4- Visualization in both shape (graph=already there and table=must be created based on the further discussion)