نتایج جستجو برای: fuzzy regularization
تعداد نتایج: 110534 فیلتر نتایج به سال:
in this thesis, at first we investigate the bounded inverse theorem on fuzzy normed linear spaces and study the set of all compact operators on these spaces. then we introduce the notions of fuzzy boundedness and investigate a new norm operators and the relationship between continuity and boundedness. and, we show that the space of all fuzzy bounded operators is complete. finally, we define...
abstract this thesis includes five chapter : the first chapter assign to establish fuzzy mathematics requirement and introduction of liner programming in thesis. the second chapter we introduce a multilevel linear programming problems. the third chapter we proposed interactive fuzzy programming which consists of two phases , the study termination conditions of algorithm we show a satisfac...
Networks of resistors have been identified as interesting devices for analog computation. Since the analytical model of a network of constant resistors is a set of linear equations, such a circuit can be used to solve a large number of linear equations concurrently. Whenever such a resistive embodiment of a computational problem can be found, the resulting circuit is usually very simple, fast a...
The Takagi Sugeno Kang (TSK) fuzzy approach is popular since its output either a constant or function. Parameter identification and structure are the two key requirements for building TSK system. input utilized in can have an impact on number of rules produced such way that employing more data dimensions typically results rules, which causes rule complexity. This issue be solved by dimension re...
The design of fuzzy inference systems comes along with several decisions taken by the designers since is necessary to determine, in a coherent way, the number of membership functions for the inputs and outputs, and also the specification of the fuzzy rules set of the system, besides defining the strategies of rules aggregation and defuzzification of output sets. The need to develop systematic p...
Abstract Fuzzy pattern trees evolved using grammatical evolution, a system we call Grammatical Evolution, are shown to be robust Explainable Artificial Intelligence technique. Experimental results show Evolution achieves competitive when compared against SVM, Random Forest and Logistic Regression on set of real world benchmark problems. allows for human input throughout the evolutionary process...
This paper presents a comparative study of the performance of three versions of Adaptive Neuro-Fuzzy Inference System (ANFIS) hybrid model and two innovative hybrid models in the prediction of oil and gas reservoir properties. ANFIS is a hybrid learning algorithm that combines the rule-based inferencing of fuzzy logic and the back-propagation learning procedure of Artificial Neural Networks. Fu...
Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS
This paper investigates the abilities of Artificial Neural Networks (ANN), Least Squares – Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference System (ANFIS) techniques to improve the accuracy of daily pan evaporation estimation in sub-tropical climates. Meteorological data from the Karso watershed in India (consisting of 3801 daily records from the year 2000 to ...
آمایش سرزمین پایه ای علمی برای استفاده اصولی و پایدار از منابع طبیعی به شمار می رود و تنها راه جلوگیری از مسائل محیط زیستی و نیز تنها راه رسیدن به توسعه پایدار است. جهت نیل به این مقصود لازم است روش هایی به کار گرفته شوند که هر چه بیشتر فرایندهای پویا و پیچیده واکنش های متقابل بوم سازگانی را جهت مدیریت آن در نظر بگیرند. در دانش آمایش سرزمین امروزه به تدریج روش های رستری نوین جایگزین روش های قدی...
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