Prediction of Crop Yield Using Fuzzy-Neural System
Authors:
- 19 October 2019
- book chapter
- Published by Springer Nature
- p. 213-220
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Imperatives for an agricultural green economy in South AfricaSouth African Journal of Science, 2015
- A new approach for determining the length of intervals for fuzzy time seriesApplied Soft Computing, 2009
- Handling forecasting problems based on two-factors high-order fuzzy time seriesIEEE Transactions on Fuzzy Systems, 2006
- Heuristic models of fuzzy time series for forecastingFuzzy Sets and Systems, 2001
- Effective lengths of intervals to improve forecasting in fuzzy time seriesFuzzy Sets and Systems, 2001
- Forecasting enrollments with fuzzy time series — part IIFuzzy Sets and Systems, 1994
- Fuzzy time series and its modelsFuzzy Sets and Systems, 1993
- The concept of a linguistic variable and its application to approximate reasoning—IInformation Sciences, 1975
- Outline of a New Approach to the Analysis of Complex Systems and Decision ProcessesIEEE Transactions on Systems, Man, and Cybernetics, 1973
- Fuzzy setsInformation and Control, 1965