Prediction of quantity of export mango using neuro-fuzzy method

Type :

Term papers

Pages :

3 pages

Format :

.pdf

Published date :

09/18/2009

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Summary :

 
 

Table of Contents Prediction of quantity of export mango using neuro-fuzzy method Table of Contents

 
  1. Introduction
  2. Methodology
    1. Fuzzy logic
    2. Artificial neural network
  3. Implementation
    1. Statistical model using Least Square Technique
    2. Neural network using fuzzy logic
  4. Result
  5. Conclusion
  6. References

Abstract

mango is the most important fruit which covers about 35 per cent of area of the Country (India) and produces 22 per cent total production of total fruits in the country, which is highest among all the counties in the world. India covers a share of about 54%. Among all the mango production of the world, a substantial amount of mango is being exported every year and in that way it will generate a lot of revenue. Here an effort is made to assess the quantity of export of fresh mango using the method of neural network based on fuzzy logic for the next few years based on the previous year's data. Here an effort is made to assess the quantity of fresh mango to be exported using the method of neural network based on fuzzy logic for the coming two years based on the previous year's data. The same result has been verified using statistical method (method of least square technique).

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About the author :

pencil image Vijay P. Director of Shri HDG MBA College
Level :General public Study : Management School/University : Saurashtra University

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