A5101663401- Reservoir Engineering and Simulation Methods
- Drilling and Well Engineering
- Advanced Memory and Neural Computing
- Advanced Data Processing Techniques
- Transcranial Magnetic Stimulation Studies
- Functional Brain Connectivity Studies
- Hydraulic Fracturing and Reservoir Analysis
- EEG and Brain-Computer Interfaces
University of Tehran
2024
Institute of Cell Biology and Neurobiology
2024
Abstract Transcranial magnetic stimulation (TMS) is a widely used non-invasive technique in research and clinical settings. Despite its success, the cellular molecular mechanisms underlying TMS-induced changes brain remain incompletely understood. Current protocols are largely heuristic, based on system-level observations. This study employed vitro repetitive (rMS) mouse tissue cultures, combined with computational modeling to develop an experimentally validated approach for predicting TMS...
We applied neuro-fuzzy model to predict reservoir properties from seismic attributes. used local linear tree (LOLIMOT) algorithm train our model. This uses well log data and attributes in a location for training.
We applied neuro-fuzzy model to predict a well log from other Well Logs. used local linear tree (LOLIMOT) algorithm train our model. This uses logs in as training data set. Trained is or core measurement relevant logs. this method case study an oil field Persian Gulf. the sonic some of Neuro-fuzzy model, Comparing with traditional neural network such RBF, PNN and MLFN, shows better performance predicting