Neuro-Fuzzy Approaches for Modeling the Wet Season Tropical Rainfall

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Neuro-Fuzzy System Modeling

System modeling concerns modeling the operation of an unknown system from a set of measured input-output data and/or some prior knowledge (e.g., experience, expertise, or heuristics) about the system. It plays a very important role and has a wide range of applications in various areas such as control, power systems, communications, networks, machine intelligence, etc. To understand the underlyi...

متن کامل

Fuzzy Logic and Neuro-Fuzzy Modeling

Fuzzy logic and fuzzy systems have recently been receiving a lot of attention, both from the media and scientific community, yet the basic techniques were originally developed in the mid-sixties. Fuzzy logic provides a formalism for implementing expert or heuristic rules on computers, and while this is the main goal in the field of expert or knowledge-based systems, fuzzy systems have had consi...

متن کامل

Neuro-fuzzy Modeling for Crop Yield Prediction

The purpose of this paper is to explore the dynamics of neural networks in forecasting crop (wheat) yield using remote sensing and other data. We use the Adaptive Neuro-Fuzzy Inference System (ANFIS). The input to ANFIS are several parameters derived from the crop growth simulation model (CGMS) including soil moisture content, above ground biomass, and storage organs biomass. In addition we use...

متن کامل

A novel application of a neuro-fuzzy computational technique in event-based rainfall-runoff modeling

Please cite this article in press as: Talei, A., et a Expert Systems with Applications (2010), doi:10.1 Intelligent computing tools based on fuzzy logic and Artificial Neural Networks (ANN) have been successfully applied in various problems with superior performances. A new approach of combining these two powerful AI tools, known as neuro-fuzzy systems, has increasingly attracted scientists in ...

متن کامل

Combining Fuzzy Knowledge and Data for Neuro-Fuzzy Modeling

The aim of this paper is to contribute to a central issue in neural network that is of combining expert knowledge and observations (data) for learning. It is generally known that neural networks, as other adaptive models, have good learning and generalization capabilities because of their statistical consistency. However, such consistency is theoretically valid only for large size training sets...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Agricultural Information Research

سال: 2006

ISSN: 0916-9482,1881-5219

DOI: 10.3173/air.15.331