A new approach of adaptive neuro Fuzzy Inference System (ANFIS) modeling for yield prediction in the supply chain of Jatropha

Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010

Volumn , Issue , 2010, Pages 1249-1253

  Srinivasan, S P ^a   Malliga, P ^b  

^a RAJALAKSHMI ENGINEERING COLLEGE   (India)

^b ANNA UNIVERSITY   (India)

Author keywords

ANFIS; Biodiesel; Crop yield; Jatropha; Prediction; Supply chain

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; CROP YIELD; FUNCTIONAL CHARACTERISTICS; FUZZY INFERENCE SYSTEMS; GROWTH CHARACTERISTIC; INPUT VARIABLES; JATROPHA; JATROPHA CURCAS; JATROPHA OIL; NEW APPROACHES; PREDICTION; PREDICTIVE MODELS; ROOT MEAN SQUARE ERRORS; SEED YIELD; SUPPLY CHAIN MODELING; SUPPLY CHAIN NETWORK DESIGN; YIELD PHENOMENON; YIELD PREDICTION;

BIODIESEL; CROPS; FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; INDUSTRIAL ENGINEERING; SEED; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS;

EXTRACTION;

EID: 78650613654     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEEM.2010.5646400     Document Type: Conference Paper

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