Optimized Weight and Threshold Neural Network (OWTNN)
Intelligent Sampling Using an Optimized Neural Network
... MLP neural network was employed as a flow- based anomaly detector in which a metaheuristic algorithm called PSOGSA was deployed to optimize the interconnection weights of the ...
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Optimized Power Schemes for Wireless Sensor Network by using Threshold Techniques
... One of the main design issues for a sensor network is conservation of the energy available at each sensor node. Optimal routing tries to maximize the duration over which the sensing task can be performed, but ...
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An Optimized Neural Network Model for Relative Humidity Prediction
... cse 1, cse 2 ,Research Scholar PTU 1, Research Scholar PTU 2 Email: [email protected] 1 , [email protected] 2 Abstract- Weather forecasting is the application of science and technology to predict the state ...
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Neural Network based ACC for Optimized safety and comfort
... Adaptive Cruise Control, Back Propagation Network, Radial Basis Network, Generalized Regression Neural Network . 1. INTRODUCTION The Adaptive Cruise Control (ACC) System is an extension of the ...
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A genetic optimized neural network for image retrieval in telemedicine
... Abstract Telemedicine integrates information and communication technologies in providing clinical services to health professionals in different places. Medical images are required to be transmitted for diagnosis and ...
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Genetically Optimized Neural Network with Lexical Features for Phishing Detection
... Mathura (India) [email protected] Abstract –Over the past few years, we applied several different methods to detect phishing web by means of known and new features. This paper gives strategies for ...
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DEEP neural network architectures, such as convolutional. Fast-Classifying, High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing
... input weight as well, since otherwise a single spike could carry so much weight that the receiving neuron would need to spike multiple times within one ...the network in response to ...
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Novel Recurrent Neural Network Weight Initialization Strategy
... one-neuron network training in the 2-Pulse sample ...feedback weight parameter this bifurcation appears when its value is ...feedback weight value. The feedback weight value tends to values ...
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A Study on the Application of Neural Network to the Prediction of Weight Control
... Keywords:- Weight control, Neural networks, Obesity, Back-propagation neural network, Alyuda NeuroIntelligence. I. INTRODUCTION In recent years, owing to the changes in living environment, ...
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A network security situation prediction model based on wavelet neural network with optimized parameters
... the network security situation by traditional ...the network security situation, we build a network security situation prediction model based on Wavelet Neural Network (WNN) with ...
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EEG Based Hearing Threshold Determination Using Artificial Neural Network
... the neural-based vocoder implementation need to be ...nearby neural populations should be explored as a function of the electrode location (basal ...
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A new back propagation neural network optimized with cuckoo search algorithm
... Table 2 give an idea about the CPU time, number of epochs and the mean square error for the 2 bit XOR data sets with ten hidden neurons. From the table, we can identify that the proposed CSBP method has better result ...
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Optimized Face Recognition Technique based on PCA and RBF Neural Network
... using optimized Radial Basis Function (RBF) Network is a very efficient solution for the researchers working in this ...Function Network for ...existing neural Network based in Back ...
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Neural Network Modeling for Simulation of Error Optimized QCA Adder Circuit
... © 2016, IRJET ISO 9001:2008 Certified Journal Page 1005 sum=1. The initial polarizations of both the inputs are set to +1.00 and -1.00 for A & B respectively and Cin is set to -1.00. In first clocking zone all the inputs ...
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Reliability Prediction of Power Communication Network Based on BP Neural Network Optimized by Genetic Algorithm
... communication network reliability index system BP neural network genetic ...communication network is a communication network which serves the power ...communication network. ...
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Ultrasound estimation of fetal weight in twins by artificial neural network
... Three input variables were used to construct the ANN model: abdominal circumference (AC), ab- dominal diameter (AD), biparietal diameter (BPD). Then, a total of 121 twin fetuses were assessed sub- sequently as the ...
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An Optimized Hybrid Neural Network Model for Detecting Depression among Twitter Users
... An Optimized Hybrid Neural Network Model for Detecting Depression among Twitter Users Depression is often an ignored health condition. Unlike mood swings and emotional challenges that are short ...
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Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition
... task. Neural network based classification algorithms and other states of the art machine learning algorithms are evaluated, then the simulation outcomes are ...
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An Indoor Localization Algorithm Based on RBF Neural Network Optimized by the Improved PSO
... allocation network (RAN), the number of nodes in hidden layer increase dynamically to determine the center of RBFNN, the number of nodes in hidden layer and spread ...inertia weight of PSO is improved to ...
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Optimal Design of R.C Beams Using Genetically Optimized Artificial Neural Network
... were optimized for minimum learning error using genetic algorithm with optimization technique given by Deb ...of weight vectors is adjusted in a manner such that each hidden node is linear over only a small ...
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