نتایج جستجو برای: neurofuzzy system identification
تعداد نتایج: 2568603 فیلتر نتایج به سال:
요 약 Intelligent and adaptive services for mobile users are researchable topics nowadays to be able to provide the mobile user an immediate knowledge of the location. This research work presents a framework for collaborative location-based services and uses data mining approach based on neuro-fuzzy system. The proposed framework supports data mining for knowledge discovery to location informatio...
Cyprus is facing a growing water shortage problem, therefore water losses associated with inefficiencies of the underground water distribution system are not only causing revenue losses for the local water boards but also significantly negatively affect the national water reserves. This paper presents an outline of two research projects, related to each other, “WATERSENSE” and “URBAN WATER DIST...
Many endangered plants such as Eryngium viviparum (Apiaceae) present a poor germination rate. This fact could be due to intrinsic and extrinsic seed variability influencing germination and dormancy of seeds. The objective of this study is to better understand the physiological mechanism of seed latency and, through artificial intelligence models, to determine the factors that stimulate germinat...
Today hybrid computing is a popular framework for solving complex problems. If we have knowledge expressed in rules, we can build an Expert System, and if we have data, or can learn from stimulation (training) then we can use Artificial Neural Networks. In this paper we present the FUzzy NEUrule System (FUNEUS) which is a Neuro Fuzzy approach based on fuzzy Adaline neurons and uses Differential...
The problems related to face recognition has been investigated from different points of view. Artificial Neural Networks, ANN, is not the exception. This paper presents a novel approach for face recognition based on three features, first the Pulse Coupled Neural Network Features; second, the Face Feature Lines, FFL, and third, the Karhunen Loève transformation, KLT. The facial features are inpu...
This paper studies the control of a pH process by using a neuro fuzzy controller with gain scheduling. As the process to be controlled is highly non-linear the PI-type fuzzy controller that will be used generally is not able to control the system adequately. For this, a very simple feedforward neural network trained on-line, is put at the output of the PI-type fuzzy controller in order to calcu...
Due to the complexity of modern day systems and the fact that most real world problems are not fixed but rather change with time, it is necessary to look for new methodologies and strategies to deal with reliability problems. Practical experience has demonstrated that the goal of building totally fault-free systems, although desirable, is impossible to achieve. Considering these observations an...
This paper presented the issues of true representation and a reliable measure for analyzing the DNA base calling is provided. The method implemented dealt with the data set quality in analyzing DNA sequencing, it is investigating solution of the problem of using Neurofuzzy techniques for predicting the confidence value for each base in DNA base calling regarding collecting the data for each bas...
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