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[PDF] Top 20 Review Computer Network Routing with a Fuzzy Neural Network

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Review Computer Network Routing with a Fuzzy Neural Network

Review Computer Network Routing with a Fuzzy Neural Network

... applied fuzzy reasoning enhanced by a neural ...current routing algorithm based on the shortest route ...to routing level achieved. The level of congestion present in the computer ... See full document

5

Routing with Congestion Control in Computer Network using Neural Networks

Routing with Congestion Control in Computer Network using Neural Networks

... forward neural networks, the training sets and the test sets are ...the neural network, for example source node, destination node, link costs and queue lengths, and the desired outputs, such as best ... See full document

8

Suitability of neural network for weather forecasting:  a comprehensive literature review

Suitability of neural network for weather forecasting: a comprehensive literature review

... the neural network are changed into fuzzy ones; correspondingly, the structure of the neural network is also ...improved neural network are used to predict weather ... See full document

17

Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks

Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks

... Artificial neural network; BPN: Back propagation neural network; BraTS: Brain tumour segmentation; CAD: Computer-aided diagnosis; CNN: Convolutional neural network; DNN: ... See full document

10

Real Time Dynamics Signature Verification

Real Time Dynamics Signature Verification

... I1 LITERATURE REVIEW 2.1 Introduction 2.2 Brief History of Signature Verification 2.3 Literature Review 2.3.1 Types of signature forgery 2.3.2 Fuzzy Neural Network Method 2.3.3 Neural Ne[r] ... See full document

24

Neuro Fuzzy System for Routing in a Computer Network

Neuro Fuzzy System for Routing in a Computer Network

... a computer? The initiation of fuzzy logic gave the answer to this ...question. Fuzzy logic reflects how people ...sense. Fuzzy logic as defined by [8] is determined as a set of mathematical ... See full document

9

Average Energy Efficient Dynamic Cluster Head based WSN using Fuzzy Inference System

Average Energy Efficient Dynamic Cluster Head based WSN using Fuzzy Inference System

... and Fuzzy Inference System based routing algorithm for wireless sensor network is proposed to increase network stability, data rate, link strength, communication efficiency, and decrease data ... See full document

9

Intrusion Detection In Computer Network Using Neural Network With Keras

Intrusion Detection In Computer Network Using Neural Network With Keras

... of network security. Intrusion detection in computer networks is very important for preventing from the attackers, So for this an efficient detection is ...on Neural Network to classify ... See full document

6

SIGN LANGUAGE RECOGNITION ? A NEW TREND

SIGN LANGUAGE RECOGNITION ? A NEW TREND

... The computer can perform hand gesture recognition on American Sign Language ...Toolboxes, Neural Network to perform the gesture ...‘neural network’ and the system will train the ... See full document

9

IDENTIFYING THREATS IN COMPUTER NETWORK BASED ON MULTILAYER NEURAL NETWORK

IDENTIFYING THREATS IN COMPUTER NETWORK BASED ON MULTILAYER NEURAL NETWORK

... into computer networks and attacks on the ...a computer network based on network traffic parameters using neural network technology, which will protect the ...the computer ... See full document

10

FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE

FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE

... NWP data for the wind farm, which mainly includes wind speed, wind direction, temperature, humidity and pressure of the 5 data. Wind turbine during operation, have the function to aim at the wind direction automatically, ... See full document

5

A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction

A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction

... the neural-based models, 20 simulations are conducted, and the averaged results are collected for comparison ...functional neural network (RBFNN), and an adaptive neuro-fuzzy inference system ... See full document

34

Deduction of reservoir operating rules for application in global hydrological models

Deduction of reservoir operating rules for application in global hydrological models

... evolution metropolis (SCEM-UA) method (Vrugt et al., 2003) to calculate the optimal release within a predetermined daily feasible release range, based on the reservoir purpose. Adam et al. (2007) use this algorithm to ... See full document

21

Neural Network Regressions with Fuzzy Clustering

Neural Network Regressions with Fuzzy Clustering

... with fuzzy membership ...the fuzzy clustering and neural network components once and only ...the neural network compoent have added as a classifier, the actual clustering jobs ... See full document

6

Performance Evaluation of QOS Routing in Computer Network

Performance Evaluation of QOS Routing in Computer Network

... QoS routing in computer ...the network. In a pure link state routing protocol, all the links with neighbour nodes are declared and are flooded in the entire ...the routing table is ... See full document

8

Adaptive Fuzzy Routing in Opportunistic Network (AFRON)

Adaptive Fuzzy Routing in Opportunistic Network (AFRON)

... Opportunistic network is a kind of Delay Tolerant Networks (DTN) where the nodes in this network come into contact with each other opportunistically and communicate wirelessly and, an end-to-end path ... See full document

5

Neural Network Toolbox for MATLAB - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

Neural Network Toolbox for MATLAB - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

... the network are engine speed and fueling levels and the network outputs are torque and emission ...The network used for this problem is a 2-30-2 network with tansig neurons in the hidden layer ... See full document

840

Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis

Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis

... Different NN structures have proven to be successful in solving the motor fault detection/diagnosis problem [1], [15], [23]–[25]. Following the techniques developed for general process fault detection/diagnosis [5]–[8], ... See full document

11

Fuzzy Neural Network for Clustering and Classification

Fuzzy Neural Network for Clustering and Classification

... Fuzzy Hyperbox Membership Function is very important in fuzzy min max neural network algorithm. The decision whether the given input pattern belongs to a particular class or cluster, thus ... See full document

7

Review on Transformer Protection through Arti...

Review on Transformer Protection through Arti...

... artificial neural network (ANN), a powerful tool for artificial intelligence (AI), which has the ability to mimic and automate the knowledge, has been proposed for detection and classification of faults ... See full document

6

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