[PDF] Top 20 A Hybrid Artificial Reputation Model

... and reputation systems have been of great importance to human ...and reputation have been of paramount importance in different disciplines such as psychology, sociology, philosophy and ...and ... See full document

... Woitaszek, M., Shaaban, M. & Czernikowski, R. Identifying junk electronic mail in microsoft outlook with a support vector machine. Applications and the Internet, 2003. Proceedings. 2003 Symposium on, 2003. IEEE, ... See full document

... (2) Nevertheless, the ANN has some disadvantages such as long time-consuming in training process, lack of using optimal global solution, and lack of stability for network outputs in similar training situations, which ... See full document

... a hybrid model for determining degree of ...The model can classify the output of either having a minor, moderate, or serious injury which inclusively stated in Indonesian Penal ...A hybrid ... See full document

... This paper demonstrates a hybrid model of Artificial Intelligence which includes Artificial Neural Network and Fuzzy Inference System. Back propagation method for training the Neural Network ... See full document

... classification model that unifies recent advances in deep learning with Artificial Neural Network (ANN) structure, creating hybrid algorithm of K-means segmentation with Particle Swarm Optimization ... See full document

... feed-forward artificial neural network (ANN) models were developed for the three ...the hybrid of artificial neural network and genetic algorithm (ANN–GA) can estimate the LLE of the binary systems ... See full document

... mean-variance model is constructed for the portfolio optimization problems. The model is a mixed quadratic integer programming problem, and it is too hard to solve by using the traditional optimal ...new ... See full document

... using model based-soft ...using artificial neural network (ANN) model, serial hybrid neural network (HNN) model and stacked neural network (SNN) ...HNN model is the best ... See full document

... analytical model and intuitive solutions are difficult to conceive and hard to find ...computational model based on the captured data of human bipeds. The analytical model has been customized with ... See full document

... on hybrid machine learning ...of artificial neural networks-imperialist competitive algorithm (ANN-ICA) and artificial neural networks-gray wolf optimizer (ANN-GWO) models for the crop yield ... See full document

... metric, Reputation-based trust metric, and Recommendation trust ...trust model based on the hybrid system can create trust relationship among ...The model utilizes fuzzy logic to integrate ... See full document

... the model performance was ...the model performance/number of additional parameters is considered for each number of lag- intervals tested, two lags are found to be the most appropriate number in this case ... See full document

... prediction model. Two soft computing models- Artificial Neural Network (ANN) and Fuzzy Artificial Neural Network (FANN) hybrid model were used to forecast the next day’s closing ... See full document

... The hybrid model was developed with an aid to further increase the accuracy of liver disease ...the hybrid model along with artificial neural ...The hybrid NeuroSVM predictor was ... See full document

... new hybrid forecasting model utilizing the combined prediction’s principle as well as the artificial intelligence’s ...of hybrid prediction which is a foundation of our model, and its ... See full document

... The artificial intelligence approach attempts to mechanize the recognition procedure according to the way a person applies its intelligence in visualizing, analyzing and finally making a decision on the measured ... See full document

... nonlinear, artificial intelligence, frequency domain, and hybrid models to find an appropriate model to forecast the stock returns of developed, emerging, and frontier ...single model out of ... See full document

... papers model advertising as a signaling game, where consumers make inference based on the firm’s expenditure on ...The model considered in this paper does not allow for the possibility that firm can ... See full document

... in reputation aggregation which with a central authentication ...the reputation estimation ...two-step reputation estimation approach for the unstructured P2P network based on dividing the P2P ... See full document