hybrid neural network system
Neuro fuzzy.ppt
... A hybrid intelligent system hybrid intelligent system is one that combines is one that combines at least two intelligent ...a neural network with a fuzzy ...
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Genetic Algorithm Coupled with the Neural Network for Fatigue Properties of Welding Joints Predicting
... new system predict method, based on a hybrid genetic algorithm (GA) with the Back- propagation neural network (BPNN), for the simultaneous establishment of a predict model structure of fatigue ...
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License Plate Recognition System using Neural Networks and Multithresholding Technique
... recognition system generally follows four steps: image capturing, image processing, character segmentation and character ...using neural networks. The work presented in [2] is a smart hybrid approach ...
6
A Hybrid Neural Network and Virtual Reality System for Spatial Language Processing
... Further research is being conducted in order to develop a psychologically plausible neural network model for the processing of spatial language. The current prototype model shows the importance of ...
6
DEVELOPMENT AND COMPARISON OF HYBRID RAINFALL PREDICTION MODEL
... three hybrid rainfall forecasting model: Neural Network and Fuzzy Expert System, Domain Expert System(DES) and Neural Networks (NN) and Combination of Fuzzy Expert System ...
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A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS
... Maintaining system stability is one of the most critical problems in power ...the system or due to sudden increase in the load ...the system, different types of controllers are used in the ...
10
Static Gesture Recognizer Using Hybrid Neural Network
... forward neural network trained with Hebbian algorithm [6]. The neural network is well suited for real-time systems because of their fast response and computational times which are because of ...
6
A Hybrid Model using Artificial Neural Network and Genetic Algorithm for Degree of Injury Determination
... Model is used to give overall picture of possible result of the action based on preferred method to an idea. The model concerns on how to present the relationship among all the aspects of the research. The dependency, ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... Hybrid neural networks – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...the neural networks ...
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Fault Diagnosis of an Induction Motor based on Fuzzy Logic, Artificial Neural Network and Hybrid System
... A total of sixty numbers of data were used to train the system. The initial FIS Model used is the same FIS Model as used to create fuzzy logic. Figure 7 shows the training sequence (with 300 epochs) of the ...
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Hybrid Architecture of Heart Disease Prediction System using Genetic Neural Network
... a hybrid system using genetic and neural network which will predict presence or absence of heart ...complex; neural network has an ability to learn and model such kind of ...
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Hybrid Adaptive Fuzzy Neural Network Control for Grid-Connected SOFC System
... composite system having pale, uncertain, or imprecise order, was first reported by ...based system modeling is efficient when compared with conventional methods [31, ...of neural networks which ...
10
A HYBRID TECHNIQUE FOR FREQUENCY DOMAIN IDENTIFICATION OF SERVO SYSTEM WITH FRICTION FORCE
... The system identification process in servo system with frictional force seems to be a complex task because of its non-linear ...is system identification in frequency ...of system parameters. ...
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Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... - neural network for the Ligvan Chai (Tabriz, Iran) catchment has been ...artificial neural network-Wavelet is performed, which shows that the model which precipitation and discharge data, as ...
10
Application of Multiagent Systems to Three-Dimensional Positioning Problem in Indoor Environments Based on IEEE 802.11
... maximizing system precision remains challenging, especially for three-dimensional (3D) ...novel hybrid approach to resolving this problem is proposed through the development of a multiagent system ...
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Adaptive and intelligent navigation of autonomous planetary rovers – a survey
... and neural networks (these are further discussed ...four hybrid methods (namely manual fuzzy, genetic algorithm-based fuzzy, PSO-based fuzzy, and neuro-fuzzy) to assess the performance of these methods ...
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A Survey on Advanced Segmentation Techniques for Brain MRI Image Segmentation
... Huang et.al [36] has proposed a system of a hybrid geometrical deformable model for the automatic segmentation of brain tissues of 3D Brain MRI Image. In this paper, the brain tissue segmentation has been ...
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AN EFFICIENT SUPER PEER SELECTION ALGORITHM FOR PEER TO PEER (P2P) LIVE STREAMING NETWORK
... PID controller has been utilized to reduce the pipe cylinder oscillation caused by VIV which is represented by using NARX and NAR system identification models after comparison of the results between system ...
10
Image Description Using Deep Neural Network
... Recurrent neural networks (RNN) are quite popular for text generation, and so many researchers use them in this task, albeit in different settings Karpathy and Fei-Fei[3], Vinyals et al [4] are influenced by ...
6
Spam detection using hybrid of artificial neural network and genetic algorithm
... of neural network algorithm has been done to save time for parameter selection and to optimize network training in order to increase the performance of spam detection, and to evaluate the performance ...
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