Neuro-Fuzzy Engineering for Spatial Information Processing

نویسندگان

  • Nikola K. Kasabov
  • Martin K. Purvis
  • Feng Zhang
  • George L. Benwell
چکیده

This paper proposes neuro-fuzzy engineering as a novel approach to spatial data analysis and for building decision making systems based on spatial information processing, and the development of this approach by the authors is presented in this paper. It has been implemented as a software environment and is illustrated on a case study problem. 1 Address correspondence to: Assoc. Prof. N.K. Kasabov, Department of Information Science, University of Otago, PO Box 56, Dunedin, New Zealand. Fax: +64 3 479 8311, Email: [email protected]

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

DUNEDIN NEW ZEALAND Neuro-Fuzzy Methods for Environmental Modelling

The Department of Information Science is one of six departments that make up the Division of Commerce at the University of Otago. The department offers courses of study leading to a major in Information Science within the BCom, BA and BSc degrees. In addition to undergraduate teaching, the department is also strongly involved in postgraduate research programmes leading to MCom, MA, MSc and PhD ...

متن کامل

Developing a Model Based on Geospatial Information Systems (GIS) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for Providing the Spatial Distribution Map of Landslide Risk. Case Study: Alborz Province

Landslide is one of these natural hazards which causes a great amount of financial and human damage annually allover the world. Accordingly, identification of areas with landslide threat for implementation of preventive measures in order to confront against the instability of hillsides for reduction of potential threats and related risks is very important. In this research a new method for clas...

متن کامل

Neuro-Fuzzy Based Algorithm for Online Dynamic Voltage Stability Status Prediction Using Wide-Area Phasor Measurements

In this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. This technique uses synchronized phasors measured by phasor measurement units (PMUs) in a wide-area measurement system. In order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...

متن کامل

Neuro-Fuzzy Controllers and Application to Autonomous Robots

In order to achieve correct behavior the control system of an autonomous robot must perform many complex information processing tasks in real time. The robots operate in environment where the boundary conditions vary rapidly [1]. Fuzzy logic controller is well suited for controlling a robot because it is capable of making inferences even under uncertainty [2]. Ever since the fuzzy systems were ...

متن کامل

A Neuro-Fuzzy Model for a Dynamic Prediction of Milk Ultrafiltration Flux and Resistance

A neuro-fuzzy modeling tool (ANFIS) has been used to dynamically model cross flow ultrafiltration of milk. It aims to predict permeate flux and total hydraulic resistance as a function of transmembrane pressure, pH, temperature, fat, molecular weight cut off, and processing time. Dynamic modeling of ultrafiltration performance of colloidal systems (such as milk) is very important for design...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1996