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 A type of weather modification  Treatment used to increase precipitation – to provide water on dams and agricultural fields during drought seasons.

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Presentation on theme: " A type of weather modification  Treatment used to increase precipitation – to provide water on dams and agricultural fields during drought seasons."— Presentation transcript:

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2  A type of weather modification  Treatment used to increase precipitation – to provide water on dams and agricultural fields during drought seasons

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4  Requires large amount of funds  Doesn’t produce enough rain  Rain do not fall on the right location  Some believe that it does not work successfully at all… In other words… A large amount of money is wasted There is no established quantitative way of pursuing cloud seeding.

5  information processing model inspired by the human brain  used in classification through pattern based learning

6 Training of program Testing and Validation of Program Acquisition and Compilation of Cloud Seeding Data Conversion of data into data input Acquisition and Programming of Implementing Software

7 TimeCoverSpeedHumidityPressureOutput 145056210102 125086110041 15.32056710022 10.3252791009.52 10.33037410023 132046410083 9.220106410062 1030569.410063 152586410083 152586610063 14.493087110062 9.32556710101 9.22576410072 11.15256661006.83 132045010082

8 Row Id. Predicted Value Actual Value ResidualTimeCoverSpeedHumidityPressure 12.6499672-0.64996714505621010 42.654352-0.6543510.3252791009.5 52.64822830.35177210.3303741002 62.66388730.33611313204641008 92.65332530.34667515258641008 102.65182430.34817615258661006 112.6450842-0.64508414.49308711006 122.6524811-1.6524819.3255671010

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10 Row Id. Predicted Value Actual Value ResidualTimeCoverSpeedHumidityPressure 32.8990992-0.89909915.3205671002 142.44231130.55768911.15256661006.8 152.5780172-0.57801713204501008

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12 Row Id. Predicted Value Actual Value ResidualTimeCoverSpeedHumidity 22.582981-1.582981250861 72.1115622-0.1115629.2201064 82.39538830.6046121030569.4 132.1297392-0.1297399.225764

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14 Phase Total Sum of Squared Errors RMS (Root Mean Square) Error Average Error Training 4.4755834170.747962517-0.27739325 Validation 1.0061711770.579128995-0.32756267 Testing 3.635997320.953414564-0.643184

15 Phase MeanStandard Deviation Significant Difference Training Validation Testing

16  The ranges in which cloud seeding operations are likely to be successful Time Observed8-10 A.M. / 3 -5 P.M. Cloud Cover50-75% (4 – 6 Oktas) Wind Speed (and Direction)2 – 19 km/h (1-10 Knots) / (Direction varies based on the location) Humidity60% + Barometric Pressure980-1010 mb  It is possible to establish a more accurate and precise way of predicting the ideality of Day for cloud seeding.

17  Wide range of cloud seeding data wherein taking into consideration other factors besides from the given factors  Usage of Backpropagation Neural Network

18  American Friends of Tel Aviv University (2010, November 1). 'Cloud seeding' not effective at producing rain as once thought, new research shows. ScienceDaily. Retrieved December 10, 2010, from http://www.sciencedaily.com­ /releases/2010/11/101101125949.htm  Hagan, M.T. (1996). Neural Network Design. Boston, MA: PWS Publishing.  Macfarlane, M. (2009, February 3). Major study proves cloud seeding effective. Cosmomagazine. Retrieved July 21, 2010 from http://www.cosmosmagazine.com/news/2514/major- study-proves-cloud-seeding-effective.  Matthew, J. (2000). An Introduction to Neural Networks. Retrieved July 21, 2010 from http://www.generation5.org/content/2000/nnintro.asp.  Moseman, A. (2009, February 19). Does cloud seeding work?. Scientific American. Retrieved August 11, 2010 from http://www.scientificamerican.com/article.cfm?id=cloud-seeding-china- snow  Shoukat, U. & Zakia, H. (2005). Improve an efficiency of feedforward multilayer perceptrons by Serial training. Journal of Theoretical and Applied Information Technology, 6(1), 017 – 020. Retrieved August 11, 2010 from http://www.jatit.org/volumes/research- papers/Vol6No1/2Vol6No1.pdf.  XLMiner (n.d.). Online Help. Retrieved January 22, 2011 from http://www.resample.com/xlminer/help/Index.htm


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