neural-like network approach
Face Recognition using Probabilistic Model for Locally Changed Face
... challenges like aging, pose variation, facial expression, and illumination ...probabilistic approach is presented, where a probabilistic approach like Naive Bayes Classifier, Neural ...
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A Neural Network Approach for Intrusion Detection Systems
... Another problem that might arise with input data is formatting. The collected and encoded data must be formatted to provide consistency and simplicity. Consistency might be achieved by padding with zeros the data fields ...
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A Neural Network Approach for Numeral Font Recognition
... (Artifiсial Neural Network approaсh). Artifiсial Neural Network (ANN), often сalled as neural network (NN), is a mathematiсal model or struсture or we сan also say сomputational ...
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Survey on Intrusion Detection System using Support Vector Machine
... ESVDF approach uses 7 features. Experiment is performed using SVM and neural network approach and from the results, the conclusion can be made easily that using fuzzy ESVDF, improvement in ...
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Energy Efficient Neural Network Technique to Recover Collision in WSN
... sensor network is to disperse tiny sensing devices; which are capable of sensing some changes of incidents/parameters and communicating with other devices, spread over a specific geographic area for some specific ...
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Review on Significance Research on Enhancing the Quality of the Brain Image Using Neuro-Fuzzy System
... diseases like cancers, tumors in human ...techniques like filtering technique (discrete wavelets, complex wavelets, and median filter), artificial neural network approach for image ...
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Dynamic Pricing in Ecommerce using Neural Network approach
... companies like Savoy, Amazon and EBay. The approach use neural network to determine a competitive price (selling price) for the products in order to maximize sellers’ ...of neural ...
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A Novel Hybrid Technique Based upon Static and Dynamic Clustering to Reduce Consumption in Wireless Sensor Network
... on neural network and other ...sensor network, cluster heads are changed using the approach of neural network technique has applied like Knowledge Based Learning to ...
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Implementation of Evolutionary Computing Techniques for Cancer Diagnosis Using Digital Signal Processor
... novel approach to implement Evolutionary Computing (EI) techniques like Fuzzy Logic, Genetic Algorithm, Neural Network, and Adoptive Neuro-Fuzzy Inference System (ANFIS) for diagnosis of ...
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Implementation of Computational Intelligent Techniques for Diagnosis of Cancer Using Digital Signal Processor
... novel approach to implement Computational (CI) techniques like Fuzzy Logic, Adoptive Neuro-Fuzzy Inference System (ANFIS) and Neural Network for diagnosis of cancer using TMS320C6713 (Texas ...
7
Price Optimization in Ecommerce using ANN
... proposed approach described here considered multiple purchase attributes to determine product price dynamically by using back propagation neural ...would like to eliminate the assumption from our ...
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A Neural Network Approach to Selectional Preference Acquisition
... would like to investigate how our neural network approach might be improved by incorporating information from other ...large-scale neural language model (Mikolov et ...our ...
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Water Wave Optimization Algorithm for solving combined economic and emission dispatch problem
... Techniques like Neural network, F uzzy system and Lagrange’s algorithm (LA) [9], Dispatch problem on different power system using Stochastic algorithm [10], Penalty factor based approach ...
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Detect Frauds in Credit Card using Data Mining Techniques
... techniques like Hidden Markov Model, K-mean clustering algorithm, K- nearest neighbor, Decision Tree, Fusion approach due using dumpster Shafer, Bayesian Network, Neural Network, SVM ...
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Short Term Load Forecasting Using a Neural Network Based Time Series Approach
... Kiartzis and Bakirtzis [35] used a fuzzy expert system to forecast daily load curves with two minima and two maxima, for each season of the year. The inference operations of the fuzzy rules are performed following the ...
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The Task Scheduling Problem: A NeuroGenetic Approach
... AugNN approach, used in conjunction with the HLETF heuristic, reduced the gap from ...AugNN approach, used in conjunction with the HLETF heuristic and a non-greedy heuristic, reduced the gap further down to ...
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A Survey of Image Segmentation Methods using Conventional and Soft Computing Techniques for Color Images
... perceptron like network which perform color image segmentation using multilevel ...technique. Neural network is used to find multiple objects in the ...The network consists of three ...
6
Improving the Performance of a Proxy Cache Using Very Fast Decision Tree Classifier
... phases for classifying the datasets in the first phase, we pre-process to remove the irrelevant information in the proxy log data sets, a different technique is applied at the preprocessing stage such as data cleaning, ...
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Evaluating Neural Machine Translation in English Japanese Task
... Neural machine translation is a brand-new approach that samples translation results di- rectly from RNNs. Most published models in- volve an encoder and a decoder in the net- work architecture (Sutskever, ...
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Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures
... configuration neural network model using January 2, 2004 to December 31, 2011 as the training ...trained neural network model that has the least normalized mean square error (NMSE) between the ...
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