[PDF] Top 20 Dynamic Pricing in Ecommerce using Neural Network approach
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Dynamic Pricing in Ecommerce using Neural Network approach
... the network of our model with 10 sets of training patterns so that errors can be minimized as much as possible by using back propagation ...our network for nine different numbers of epochs or ... See full document
7
Price Optimization in Ecommerce using ANN
... of dynamic pricing by our model of neural network into two phases: training phase and price determination ...our network with a set of training ...our network with the ... See full document
6
Application of functional link neural network to HVAC thermal dynamic system identification
... the network to represent the inverse of the plant, but there are potential drawbacks to this ...An approach called specialized inverse modeling has been proposed in an effort to overcome these ...this ... See full document
7
Comparative study of static and dynamic neural network models for nonlinear time series forecasting
... as neural network models, in modeling and forecasting the market indexes can yield impressive results (Aladag et ...as neural network models, is a response to the lack of consensus on ... See full document
18
Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange
... as neural network models, in modeling and forecasting the market indexes can yield impressive results (Aladag et ...as neural network models, is a response to the lack of consensus on ... See full document
17
Parameter optimization of evolving spiking neural network with dynamic population particle swarm optimization
... every neural network there are parameters involved and some approaches are employed for parameter setting such as manual tuning or an automated process using an optimizer (Silva et ...as ... See full document
36
Classification of the Arabic Emphatic Consonants using Time Delay Neural Network
... Artificial Neural Networks (ANNs) in automatic classification of the emphatic consonants of the Standard Arabic Language ...Delay Neural Network (TDNN) approach which permits a classification ... See full document
6
Sla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing
... (neural network based dynamic weighted round robin) that is a neural network based dynamic load balancing algorithm is also proposed through which dispatching of large number of ... See full document
7
Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... a neural network forward model (NN) to predict a concentration of methyl methacrylate, a jacket temperature and temperature profile in the ...temperature, neural network based control ... See full document
18
A Novel Hybrid Technique Based upon Static and Dynamic Clustering to Reduce Consumption in Wireless Sensor Network
... the network and network performance ...networks using neural network approach. In neural networks weights can be adjusts easily by applying some ...a network. The ... See full document
6
Steganography Detection using Functional Link Artificial Neural Networks
... coded using OutGuess, no change can be observed between the uncoded and coded image to the naked ...image. Using this concept, we feed the neural network with the Huffman code of the uncoded ... See full document
5
An Artificial Neural Network Approach for Predicting Kinematics in Handball Throws
... forward neural networks for the representation of the mutual effect of this relationship have been used in some studies [23, ...throws using only a force platform output ...artificial neural networks ... See full document
5
SME DEVELOPMENT BASED ON INFORMATION AND COMMUNICATION TECHNOLOGY TO GLOBAL MARKET IN DISTRICT KENDAL
... Artificial Neural Network (ANN), Fuzzy Set Theory and Rough Set ...artificial neural networks e.g. Dynamic Filter- Weights Neural Network [2, 3], Local Linear Wavelet ... See full document
5
Analysis of Earth Embankment Structures using Performance-based Probabilistic Approach including the Development of Artificial Neural Network Tool.
... analysis using contour plots. An approach for quantitative probability estimation using PLAXIS 2D numerical analysis and a probability estimation sheet is ... See full document
217
A Machine Learning Approach for Secure Intrusion Detection in Wireless Sensor Networks
... classifier approach is talked about that outcome into detection of known and unknown attacks with high accuracy and low false alarm ...the approach computationally ... See full document
8
Performance Enhancement in Machine Learning System using Hybrid Bee Colony based Neural Network
... In the initial step of ABC algorithm, a set of food sources are selected randomly by the employed bee and their corresponding nectar amounts (i.e. fitness value) are computed. The employee bee shares these details to ... See full document
7
Forecasting of heavy metals concentration in groundwater resources of Asadabad plain using artificial neural network approach
... An ANN model is developed in this study to predict groundwater heavy metals concentration in Asadabad plain for a period using the observed time series of different heavy metals concentration. Different numbers of ... See full document
10
Face Recognition using Probabilistic Model for Locally Changed Face
... and Neural Network Classifier works on learning data and then classifying ...and Neural Network Classifier in case face recognition of plastic ... See full document
7
Forecasting nitrate concentration in groundwater using artificial neural network and linear regression models
... The choice of the type of network depends on the nature of the problem to be solved (Goethals et al., 2007). The number of input and output neurons is determined by the na- ture of the modelling problem, the input ... See full document
6
Application of Neural Space Mapping for Modeling Ballistic Carbon Nanotube Transistors
... a Neural-Space-Mapping (NSM), SPICE-compatible, modeling technique for carbon nanotube field effect transistors, at their ballistic ...compatible. Using the new developed model, we have studied I DS −V DS ... See full document
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