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Search results for: fuzzy network
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Year: 2012, Volume: 12, Number: 1
... consequence, make a correct response to the query with fuzzy qualitative this methodology enables the benefits of both Semantic ... , "What's in a link: foundations for semantic networks," in D. Bobrow and A. ... (eds.), Representation and REFERENCES Understanding: Studies in Cognitive Science. pp. 35-82, New ...
Year: 2012, Volume: 12, Number: 1
... - Conventionally, phase angle control method is carried out fuzzy controller (NFC) which has non-linear and robust ... Phase Angle Control of Three Level Inverter Based D-STATCOM Using Neuro-Fuzzy Controller Resul COTELI1, Erkan DENIZ1, Besir DANDIL1 ... . Bal, "Development and 2006. Implementation of Fuzzy-Neural Network Controller for Brushless [9] F. ...
Year: 2011, Volume: 11, Number: 4
... but might present dimensioning for a proper functioning. oscillations around the MPP, while fuzzy control, genetic algorithms or neural network prediction are more precise but Index Terms ... photovoltaic systems, dc-dc power converters, also more complex, requiring more processing time and nonlinear dynamical systems, bifurcation, chaos, monodromy matrix, saltation matrix. ...
Year: 2011, Volume: 11, Number: 4
... 1698. edition, 2003. [9] Ch. Chian-Song, "T-S Fuzzy Maximum Power Point Tracking [22] H. Haberlin, Photovoltaics: System ... , A.F. Zobaa, "Mathematical modeling of Fuel Cell Hybrid System on Distribution Network Considering the photovoltaic systems," in Proc. 14th Power Electronics and Motion ...
165. PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller
Year: 2011, Volume: 11, Number: 4
... exhibiting second order linear integrated to PID controller. The fuzzy supervisor was used behavior were used in the real ... many areas of industrial control, especially in chemical neural networks and classic PID controller. Functioning of this industry ... Engineering Volume 11, Number 4, 2011 PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic ...
Year: 2011, Volume: 11, Number: 4
... in [20]. here, an Adaptive Network-Based Fuzzy Inference Systems Input (ANFIS) classifier is used ... for recognition feature extraction is necessary to fully exploit a neuro-fuzzy of objects exhibiting a sufficient amount of texture. ... ANFIS is Segmented Image motivated by the fact that neural networks are well known Robust Object Segmentation as an alternative ...
Year: 2011, Volume: 11, Number: 3
... ). Most clustering satisfactory and they completely depend on parameters algorithms like K-means, fuzzy C-Means (FCM) and their initialization. In the past few decades, ... derivatives. Since in these approaches, the Other clustering methods are based on neural networks clustering criterion is based on Euclidean distance between [32] -[ 33 ...
Year: 2011, Volume: 11, Number: 3
... Improving Computer IV. CONCLUSION Based Speech Therapy Using a Fuzzy Expert System", in Computing The paper presented ... neural network as a classifier and language using Kohonen neural networks. The study focused we will compare the level ... ' consonant in Romanian paper we use the Kohonen neural network as a classifier and language using Kohonen neural networks ...
Year: 2011, Volume: 11, Number: 2
... networks, genetic algorithm, with VF method, and fuzzy logic, and so on can be included in ... , and this is possible The methods such as neural networks, genetic algorithm, with VF method, and ... . Li, "Application of artificial neural 2004. network to the detection of the transformer winding deformation, ...
Year: 2011, Volume: 11, Number: 2
... a fault such as Expert System, Neural Network and Fuzzy Logic with pre-developed voltage sag database. From the ... 2011 Voltage Sags Matching to Locate Faults for Underground Distribution Networks Hazlie MOKHLIS1, Hasmaini MOHAMAD2, Haiyu LI3, ... a rural area. Thus, not much underground distribution network is presented in this paper. information can be ...
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