neural-network-based algorithms
EMPLOYABILITY OF NEURAL NETWORK ALGORITHMS IN PREDICTION OF STOCK MARKET BASED ON SENTIMENT ANALYSIS
... Expansion of verbal technologies and saturation of communal mass media offers prevailing possibilities to research users’ thinking and emotional states of individuals. Amid this paper, wemention the risk to enhance a ...
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Improved cuckoo search based neural network learning algorithms for data classification
... Seeing the problem of convergence in deterministic methods, many nature inspired meta-heuristic methods have been used to solve non-linear optimization problems, such as; artificial bee colony (ABC) algorithm (Karaboga, ...
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Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
... different algorithms such as radial basis function artificial neural network, Multi-layer Perceptron artificial neural network, Least squares support vector machine and adaptive ...
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Prediction of Tourist Quantity Based on RBF Neural Network
... Watermarking Algorithms Robust to Geometrical Attacks (Beijing: Intellectual Property Publishing House, ...artificial neural network, image processing, and information ...
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A Comparative Study on Various Neural Network Algorithms
... Artificial Neural Networks (ANN) is a mathematical or computational model based on biological ...structure based on data received during learning ...terms, neural networks are nonlinear ...
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Title: A Survey on Predictive Analysis in Agricultural Soil Health Data to Predict the Best Fitting Crop
... agricultural based country where more than 50% of the population depends on ...crops based on the type of ...effective algorithms and neural network techniques which have been used to ...
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A Study of Various Training Algorithms on Neural Network for Angle based Triangular Problem
... propagation neural network training algorithms and performance of different radial basis function neural network for angle based triangular ...training algorithms in feed ...
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Investigation of potato peel-based bio-sorbent efficiency in reactive dye removal: Artificial neural network modeling and genetic algorithms optimization
... powder based sorbent (PP) was examined in this ...experiments. Based on the design of experiment outputs, 18 experimental sets were designed and the experiments were done in accordance with the experimental ...
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PREDICTION OF SITE RESPONSE SPECTRUM UNDER EARTHQUAKE VIBRATION USING AN OPTIMIZED DEVELOPED ARTIFICIAL NEURAL NETWORK MODEL
... model based on artificial neural network (ANN) using five different training algorithms to predict nonlinear site response spectrum subjected to Silakhor earthquake vibrations ...training ...
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Wideband spectrum sensing using adaptive neuro fuzzy inference system in cognitive radio networks
... existing algorithms such energy detection, spectrum sensing based on HSMM and fuzzy neural network based spectrum sensing are plotted versus the false-alarm probability for a detection ...
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Evaluation Of Different Software Based Approaches For Deep Packet Inspection
... software based approaches for Deep Packet Inspection systems have been ...matching algorithms are costly in terms of time ...perceptrons neural network can perform position independent ...
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Comparative Analysis Of Image Segmentation Techniques And Its Algorithm
... segmentation based on Region Based, Edge Detection, Thresholding, Clustering, Fuzzy Logic and Neural Network are discussed and ...These algorithms are mainly based on two ...
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Detecting Network Intrusion Using BPA & RBF Neural Network Algorithms
... Meera Gandhi et al, 2009, propose a Polynomial Discriminant Radial Basis Function (PRBF) for intrusion detection to achieve robustness and flexibility. Based on several models with different measures, PRBF makes ...
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FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... traditional algorithms for ML Nonetheless, the computational load is very heavy and multivariate nonlinear maximization problem is ...of neural network (NN) for obtaining the global optimal solution ...
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Scaly Neural Networks for Speech Recognition Using DTW and Time Alignment Algorithms
... features. Neural Networks are, in essence, biologically inspired networks since they are based on the current understanding of the biological nervous ...a network of densely interconnected simple ...
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1. Kernel network parameters optimization using optimized artificial neural network to serve quality of service parameters
... in algorithms. The per connection based CO-ABC based ANN will recommended the slected paremeters of kernel to support the TCP to fully ...Kern algorithms based RTT calculated bandwidth ...
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COMPUTATIONALLY EFFICIENT SECURE AND PRIVACY PRESERVING STORAGE OF IMAGE DATA ON HYBRID CLOUD
... Malware is the generic term used to delegate any informatics program created deliberately to carry out an illegal activity that, in many cases, is harmful to the system in which it has been lodged [7]. Malware such as ...
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Foundations Of Soft Case based Reasoning SANKAR K PAL pdf
... method, based on configuration techniques is described by Wilke et ...is based on evaluation of the structural similarity ...approach based on introspective reasoning [8], involves a feedback ...
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Neural Network Design - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... each network input, the algorithm is only given a ...to network inputs ...a network if you don’t know what it is supposed to do? Most of these algorithms perform some kind of clustering ...
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Image Description Using Deep Neural Network
... Convolutional Neural Networks (CNN) are biologically- inspired variants of Multi Layered Perceptrons. It is comprised of one or more convolution layers (often with a subsampling step) and then followed by one or ...
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