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ANALYZING PARAMETERS OF GLOBAL WARMING AND PREDICTING FUTURE USING NEUROPH

원문정보

Geon Young PARK

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초록

영어

Today, most industry subjects’ modern keyword is a green technology(GT). Words such as green growth, green policy has appeared because of the serious climate change happening lately. Global warming is accelerating fastly and it casting a shadow on many people. However, based on the scientific facts, some people raise doubts about the global warming. That is, global warming is just the manipulated fiction play of politics. Many people don’t realize climate change due to global warming yet, and make objections. The reason for the global warming is very complex and induced by many variables. So, many people have not know the fundamental cause of global warming yet. I examined the effect of changes in each variable factors that contribute to global warming and considered complex condition of global warming to predicting the future climate model by using Neuroph(Artificial neuron program) and database. Further, by using this, i predicted give the aspect changes of global warming in 50 years using the Neuroph.

목차

ABSTRACT
 1. INTRODUCTION
 2. RESEARCH METHODS
  2.1 Collecting Database of Global Warming Factors
  2.2 Training the Dataset
  2.3 Input Future Dataset
 3. RESEARCH RESULTS
  3.1 DECC’s Carbon plan
  3.2 Experts’ model
 4. CONCLUSION AND ANALYZING
 5. RECOMMENDATIONS
 6. REFERENCES

저자정보

  • Geon Young PARK Incheon science high school, Un-seo dong, Jung Gu, Incheon (543-4), Republic of Korea

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