neural network computing techniques
Soft Computing Techniques Based Automatic Licence Plate Recognition Systems for Indian Vehicles
... soft computing techniques are ...Soft computing techniques random forest, neural network, support vector machine, and convolutional neural network are used for the ...
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A Holistic Review of Soft Computing Techniques
... a network is trained is called learning ...(MPWL) Neural Network for function approximation [221], non-polynomial activation functions [33], Hermite Polynomial [132], Gaussian bars [85], ...
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Soft Computing Techniques for Mishaps Prediction
... learning techniques are used for classification of the given set of data and it is the same set of data used for ...(MLP) neural network topology is used in the analysis of behaviour of ...the ...
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Comparing Soft Computing Techniques for Estimating Demand of Season Ticket Holders
... soft computing techniques, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN), were utilized to predict demand of season ticket holders of soccer clubs in this ...
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Soft Computing Stock Market Price Prediction for the Nigerian Stock Exchange
... soft computing models- Artificial Neural Network (ANN) and Fuzzy Artificial Neural Network (FANN) hybrid model were used to forecast the next day’s closing ...Soft Computing ...
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A Review on Character Recognition Techniques
... Structural Techniques: The recursive description of a complex pattern in terms of simpler patterns based on the shape of the object was the initial idea behind the creation of structural pattern ...4) ...
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Neural Networks for Intrusion Detection and Its Applications
... Different neural network structures are analyzed to find the optimal neural network with regards to the number of hidden ...of network attacks by comparing current activity against the ...
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An Approach to Enhance Multimedia Security in Cloud Computing
... cloud computing based on DES, 2-Fish, Genetic Algorithm and neural network based ...mentioned techniques in hybridization with each ...of neural network ...
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Review Techniques of Data Privacy in Cloud Using Back Propagation Neural Network
... Abstract—Back Propagation is the scheme for neural network learning. This learning accuracy gained by collaborative learning. In existing system support this kind of learning on limited dataset and between ...
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The Assembly of Neural Network in Soft Computing
... classification techniques, which allocate each pixel to a specific class, are often inappropriate for applications where mixed pixels are abundant in the ...in neural techniques has demonstrated the ...
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Performance of Aspect Oriented Software Quality Modelling using Artificial Neural Network Technique
... soft computing (SC) techniques are applied to develop model that can describe these quality ...Artificial Neural Network (ANN) is selected for evaluation which is a part of soft ...
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The performance of soft computing techniques on content based SMS spam filtering
... Artificial Neural Network dan Support Vector Machines (SVM) sesuai bagi penapisan spam berasaskan kandungan menggunakan saiz ciri yang bersesuaian yang dipilih menggunakan pengukuran Indeks Gini yang ...
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Implementation of Evolutionary Computing Techniques for Cancer Diagnosis Using Digital Signal Processor
... Evolutionary Computing (EI) techniques like Fuzzy Logic, Genetic Algorithm, Neural Network, and Adoptive Neuro-Fuzzy Inference System (ANFIS) for diagnosis of cancer using TMS320C6713 (Texas ...
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Effective Analysis of Lung Infection using Fuzzy Rules
... Soft Computing is conglomerate of methodologies which works together and provides an ability to make a decision from reliable data or expert’s ...soft computing techniques such as neural ...
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Adaptive Neuro-Fuzzy System to Determine the Blood Glucose Level of Diabetic
... soft computing techniques which includes; Artificial Neural network, fuzzy logic, evolutionary algorithms and swarm intelligence, or any combination of these that is Neuro-fuzzy, ...
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Oblivious Neural Network Computing via Homomorphic Encryption
... several techniques from machine learning were converted to the multiparty scenario where several parties contribute to some kind of computation while preserving the security of the data provided by each of ...[6], ...
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A Comparative Survey on Traffic Analysis for Mobile Ad Hoc Network (MANET) Routing Protocol with Soft Computing Techniques
... make Network traffic as a challenging one in Mobile Ad Hoc Network ...dynamic network create Vulnerability to various kinds of security attacks that includes Passive Attacks, Active Attacks, Layer ...
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Parallel computing for artificial neural network training
... connected neural network layers was proposed by Bakhtiary et ...radial-basis network design that subdues some stints of using ANNs to accurately model regression problems with minimal training data ...
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A NOVEL TWO DIMENSIONAL SPECTRAL/SPATIAL HYBRID CODE FOR OPTICAL CODE DIVISION MULTIPLE ACCESS SYSTEM
... An ear recognition method is proposed by Revaud et al. [18], which uses the Scale-Invariant Features Transform (SIFT) method to detect features and create descriptors for them. These features are extracted for the model ...
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Robust Exponential Stability of Periodic Solutions for Static Recurrent Neural Networks with Delays
... recurrent neural networks by using the fixed point theory, Poineare map and Lyapunov function combined with inequality ...recurrent neural network is a kind of neural network which ...
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