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Information Journal Paper

Title

NEURAL NETWORK ANALYSIS TO PREDICT FACTORS AFFECTING CONSERVATION BEHAVIOR OF RURAL OPERATORS OF SHADEGAN WETLAND

Pages

  63-73

Abstract

 1. INTRODUCTIONWetlands are unique ecosystems that often appear on the sidelines of aquatic or terrestrial systems. They are among the most productive ecosystems on earth, the loss of which can lead to disastrous effects on the wild life and biodiversity.

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    Cite

    APA: Copy

    GHANIAN, MANSOUR, BAKHSHI, AZADEH, YUSEFI HAJIVAND, ROGHAYEH, & HASHEMINEJAD, AZAR. (2015). NEURAL NETWORK ANALYSIS TO PREDICT FACTORS AFFECTING CONSERVATION BEHAVIOR OF RURAL OPERATORS OF SHADEGAN WETLAND. JOURNAL OF RESEARCH AND RURAL PLANNING, 4(3 (11)), 63-73. SID. https://sid.ir/paper/236503/en

    Vancouver: Copy

    GHANIAN MANSOUR, BAKHSHI AZADEH, YUSEFI HAJIVAND ROGHAYEH, HASHEMINEJAD AZAR. NEURAL NETWORK ANALYSIS TO PREDICT FACTORS AFFECTING CONSERVATION BEHAVIOR OF RURAL OPERATORS OF SHADEGAN WETLAND. JOURNAL OF RESEARCH AND RURAL PLANNING[Internet]. 2015;4(3 (11)):63-73. Available from: https://sid.ir/paper/236503/en

    IEEE: Copy

    MANSOUR GHANIAN, AZADEH BAKHSHI, ROGHAYEH YUSEFI HAJIVAND, and AZAR HASHEMINEJAD, “NEURAL NETWORK ANALYSIS TO PREDICT FACTORS AFFECTING CONSERVATION BEHAVIOR OF RURAL OPERATORS OF SHADEGAN WETLAND,” JOURNAL OF RESEARCH AND RURAL PLANNING, vol. 4, no. 3 (11), pp. 63–73, 2015, [Online]. Available: https://sid.ir/paper/236503/en

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