multi neural network system
CDSS for Heart Disease Prediction Using Risk Factors
... A Multi-technic decision support system powered by genetic algorithm, neural network, and fuzzy logic concepts for the diagnosis of heart disease has been investigated in this ...the ...
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A System to Detect and Block SQL Injection with the help of Multi Agent System using Artificial Neural Network
... A multilayer perceptron (MLP) is a feed forward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed ...
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An Adaptive Neural Network Based Energy Storage Control for Operation Enhancement of a Multi-Generator AC and Wind Power System
... the system (Mendonca et ...generator system. Hence with increased wind penetration the effective system inertia is decreased and it can affect reliability of the system significantly when ...
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Automatic Multi-task Learning System for Abnormal Network Traffic Detection
... abnormal network traf- ...novel multi-task learning system based on convolutional neural network, which can simultaneously solve the tasks of malware detection, VPN-capsulation recogni- ...
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Application of Multi Layer Artificial Neural Network in the Diagnosis System: A Systematic Review
... In this paper, an advance machine intelligence methodology for the prediction ofpersistent respiratory disorder in youngsters is mentioned. By discrimination partial least sq. regression, nine out of forty eight ...
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Design and implementation of a convolutional neural network on an edge computing smartphone for human activity recognition
... recognition system with a novel multi-channel 1-D convolutional neural network architecture and substituted the manually designed feature extraction procedure in HAR by an automated fea- ture ...
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Electrolarynx Voice Recognition Utilizing Pulse Coupled Neural Network
... a system for electrolarynx speech recognition. Two main parts of the system are feature extraction and pattern ...Coupled Neural Network – PCNN is used to extract the feature and ...
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ANN Controller For Load Frequency Control
... Artificial Neural Network (ANN) Controller for load frequency control of Multi area power system is ...and Multi area power system with non-reheat ...
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Parallel Cascade Correlation Neural Network Methods for 3D Facial Recognition: A Preliminary Study
... back-propagation neural networks is considered to be a slow process because of the step-size and moving target problems [3] ...correlation neural networks were devel- ...minimal network topology and ...
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Multi Modal Iris Recognition System based on Convolution Neural Network
... convolutional neural networks architecture for feature ...Recognition System. This method has given outstanding results. The system made multimodal by fusion ranking ...convolutional neural ...
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Classification of Moving Vehicles using Multi Classifier with Time Domain Approach
... MCS network models are shown in Tables 4 and ...the neural network model trained using 80% data samples has better classification accuracy when compared to the other neural network ...a ...
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Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
... artificial neural network, Multi-layer Perceptron artificial neural network, Least squares support vector machine and adaptive neuro-fuzzy inference system are developed to ...
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Development of a new EDRNN procedure in control of human arm trajectories
... of neural network mapping, evolutionary computation, and dynamic system ...control system structure is proposed to manipulate the complicated nonlinear dynamical arm ...recurrent neural ...
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... artificial neural network (ANN) application of load frequency control (LFC) of a Multi-Area power system by using a neural network controller is ...artificial neural ...
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Detection of Tumor in Mammographic Images by RBF Neural Network and Multi Population Genetic Algorithm
... fuzzy system is realized by the neuronal training means ...fuzzy system parameters ...expert system was achieved, where the fuzzy-neural approach detects the areas suspect which will be after ...
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Multi Layer Feed Forward Neural Network Knowledge Base to Future Stock Market Prediction
... learning system and another from standard system. The feedback system is used to determine what should be done in order to produce the correct ...a neural net is used to arrive with least ...
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An Automated System for Identification of Skeletal Maturity using Convolutional Neural Networks Based Mechanism
... CNN, multi layered Neural Network (Fig 8), Constitutes with an Input, Hidden and an Output ...convolutional neural layers of sizes 7X7, 5X5, 3X3 or all ...
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Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange
... artificial neural networks has many considerable advantages; first, neural networks have a high similarity with the human nervous system, and unlike the traditional methods, they are data-driven ...
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Challenges to Multi-Layer Feed Forward Neural Networks in Intrusion Detection
... forward neural network gets its name by processing information in a forward direction (Anyanwu, Keengwe & Arome, ...the multi-layer feed forward neural network system, using ...
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WEATHER FORECASTING USING SOFT COMPUTING TECHNIQUES
... Inference System (ANFIS) and Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) models were used to analyze metrological data sets obtained from the metrological ...
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