1 / 8

Exposure to Toxicants of Chemical & Biological Warfare Agents

Exposure to Toxicants of Chemical & Biological Warfare Agents. Sponsored By: Defense Research and Development Establishment Gwalior. Principle Investigator Dr. Anupam Shukla Associate Professor Department of Information Communication Technology

aisha
Télécharger la présentation

Exposure to Toxicants of Chemical & Biological Warfare Agents

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Exposure to Toxicants of Chemical & Biological Warfare Agents Sponsored By: Defense Research and Development Establishment Gwalior Principle Investigator Dr. AnupamShukla Associate Professor Department of Information Communication Technology ABV-Indian Institute of Information Technology and Management Gwalior dranupamshukla@gmail.com, anupamshukla@iiitm.ac.in http://faculty.iiitm.ac.in/~anupamshukla/

  2. Project Brief • Work over real life data from DRDE • Data from experiments on rats • Prediction of effects of exposure to chemicals • Artificial Neural Network with Back Propagation used for learning • System could predict the effect of chemical exposure without the need of sacrifice of rats

  3. 70 not exposed to Gallium Arsenide Measure Blood ALAD, GSH, ROS ANN Input Train 140 male wistar rats 70 exposed to Gallium Arsenide for 21days with dosage 21mg/g Measure Blood ALAD, GSH, ROS ANN Target Test Methodology

  4. ANN Parameters • Number of Hidden Layers – 1. • Learning rate – 0.05. • Transfer Function- Logsig for hidden layer, Purelin for output layer. • Momentum – 0.9. • Error Goal – 0.001. • Number of Epochs- 12794. • Number of Neurons- 110 in hidden layer, 3 in output layer.

  5. ANN Training

  6. Network Inputs

  7. Network Inputs

  8. Thank You

More Related