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منابع مشابه
Minutes of the Second Annual Meeting of the American Association for Artificial Intelligence
The first national conference, held at Stanford The current AAAI membership is approximately University August 17-21, 1980, was a distinctive success: 1300; members are advised that dues in the amount of attendance was surprisingly high (over 900) with $10 regular, $5 student, for the new membership year, 1 representatives from industry and the financial September 1981 through 31 August 1982 ar...
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In this study, the aim is to propose a new method for fuzzification of nested dummy variables. The fuzzification idea of dummy variables has been acquired from non-linear part of regime switching models in econometrics. In these models, the concept of transfer functions is like the notion of fuzzy membership functions, but no principle or linguistic sentence have been used for inputs. Consequen...
متن کاملEvaluation of Optimal Fuzzy Membership Function for Wind Speed Forecasting
In this paper, a new approach is proposed in order to select an optimal membership function for inputs of wind speed prediction system. Then using a fuzzy method and the stochastic characteristics of wind speed in the previous year, the wind speed modeling is performed and the wind speed for the future year will be predicted. In this proposed method, the average and the standard deviation of in...
متن کاملA New Highly Controllable and Accurate Algorithm for Defuzzifier Circuit Implementation
Defuzzifier circuit is one of the most important parts of fuzzy logic controllers that determine the output accuracy. The Center Of Gravity method (COG) is one of the most accurate methods that so far been presented for defuzzification. In this paper, a simple algorithm is presented to generate triangular output membership functions in the Mamdani method using the multiplier/divider circuit and...
متن کاملروشی جدید برای عضویت‌دهی به داده‌ها و شناسایی نوفه و داده‌های پرت با استفاده از ماشین بردار پشتیبان فازی
Support Vector Machine (SVM) is one of the important classification techniques, has been recently attracted by many of the researchers. However, there are some limitations for this approach. Determining the hyperplane that distinguishes classes with the maximum margin and calculating the position of each point (train data) in SVM linear classifier can be interpreted as computing a data membersh...
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ورودعنوان ژورنال:
- Science
دوره 206 4419 شماره
صفحات -
تاریخ انتشار 1979