[PDF] Top 20 Neuro Fuzzy System Based Adaptive Equaliser in Mobile Cellular Channels

... the mobile also gives rise to Doppler shift of the operating signal frequency ...these channels are known as time ...Different channels are in vogue to model the MC ...In Mobile ... See full document

... the mobile device a handy tool for managing day-to-day tasks involving sensitive data, monetary transactions ...6 mobile users, there is one who has suffered loss or ...provide mobile access control ... See full document

... The palmprint image is decomposed into an approximate image and three detail images with the adaptive scheme. Then PCNN is used to decompose each detail image into 30 binary images. In this the number of neurons ... See full document

... Occam language enables programs to be written as a collection of self-contained programs (tasks) which may be executed simultaneously (parallel or concurrent) or simply one after another with a built-in inter-process ... See full document

... A mobile robot is a situated and embodied agent endowed with mobility; and operates au- tonomously, communicating with, and exploring its ...environment. Mobile robots are complex systems functioning in ... See full document

... disease based upon various tests performed upon ...patient based on past professional experiences and knowledge, intelligent techniques are possibly the only class of automatic technique powerful enough to ... See full document

... of fuzzy logic and neural network [10], [11]. Type-1 fuzzy set cannot manage uncertainty in better way than type-2 fuzzy set ...type-2 fuzzy system and wavelet neural network are ... See full document

... OCR system for such cases, the different historical documents can be stored, modified for a long ...OCR system consists of the following basic components: Pre-processing, Feature Extraction, Classification ... See full document

... 2.8 Structure of fuzzy inference system: Consisting of 3 inputs (mean density, mean velocity and plane visibility), 1 output (LOS) & a series of rules.. of Help as input variable[r] ... See full document

... The system analysis, simulation and comparison with historic electricity production data show that the implementation of a RES based power system for the community is cost effective, with a total ... See full document

... using adaptive network fuzzy inference system in reasoning the performance of the ...is based on marks or how much the student able to score in an exercise only or involves the human expert ... See full document

... The optimization of various models is accomplished by the genetic algorithm. Next, regarding the significant relationship between Optimal models and input images, changing the structure of Optimal models for image ... See full document

... the neuro -fuzzy network architecture [15][16]. The neuro-fuzzy network, which is an integration of the merits of neural and fuzzy approaches, enables one to build more intelligent ... See full document

... intelligent system can learn and take the place of a ...an Adaptive Neuro-Fuzzy Inference System (ANFIS) preprocessed by subtractive ... See full document

... the system. In the proposed expert system, the inference engine extracts keywords from input by the user and processes them to check the validity of the question ...The system is rule-based ... See full document

... Asselt’s categories for futures studies that more strongly emphasizes cognitive uncertainty is foresight which deals with multiple possible and plausible future (Veenman 2013). Foresight draws conclusions for the present ... See full document

... The effectiveness of the proposed control schemes is demon- strated by a case study. For this example consider a green- house of surface area 1000 m 2 and a height of 4 m. The greenhouse has a shading screen that reduces ... See full document

... linguistic fuzzy rules, which is common to all neuro-fuzzy ...a fuzzy model can become limited with too many fuzzy ...the fuzzy rule ...proposed neuro-fuzzy ... See full document

... PROBLEM Adaptive Neuro Fuzzy Interface System, or shortly ANFIS, generally represents combination of fuzzy logic and neural ...network. Fuzzy systems have the ability to ... See full document

... power system generation for a selected case. A fuzzy control system based on ANFIS has been proposed to optimize the performance of the ...proposed system has ten ANFIS models, which ... See full document