نتایج جستجو برای: final prediction error
تعداد نتایج: 667351 فیلتر نتایج به سال:
in this work, the time series modeling was used to predict the tazareh coal mine risks. for this purpose, initially, a monthly analysis of the risk constituents including frequency index and incidence severity index was performed. next, a monthly time series diagram related to each one of these indices was for a nine year period of time from 2005 to 2013. after extrusion of the trend, seasonali...
The goal of our study was to determine whether the implementation of sensory and motor constraints on a developing robot would significantly improve learning progress. Developing robots were initiated in a rectangular hallway facing a wall whose color was dependent on the robot’s movement and position. Throughout the developmental process, the robot had to predict future sensorimotor vectors ba...
Network Coordinate (NC) system is an efficient and scalable mechanism to estimate the distance between Internet hosts. However, the existence of Triangle Inequality Violation (TIV) decreases the accuracy of NC system. With focus on most widely used NC system, Vivaldi, we propose an effective mechanism of neighbor selection based on TIV Severity Sort to improve Vivaldi performance. By sorting ex...
Surprise drives learning. Various neural "prediction error" signals are believed to underpin surprise-based reinforcement learning. Here, we report a surprise signal that reflects reinforcement learning but is neither un/signed reward prediction error (RPE) nor un/signed state prediction error (SPE). To exclude these alternatives, we measured surprise responses in the absence of RPE and account...
In this thesis, we investigate methods for automatic detection, and to some extent correction , of grammatical errors. The evaluation is based on manual error annotation in the Cambridge Learner Corpus ((((), and automatic or semi-automatic annotation of error corpora is one possible application, but the methods are also applicable in other settings, for instance to give learners feedback on th...
pavement design using mechanistic-empirical methods is often carried out based on the some assumptions for pavement layer's properties (thickness, elastic modulus, poisson's ratio and ….), loading properties(axial weight, tire coordinates, number of repetitions and …) and also the failure mechanism for different materials. fulfillment of these assumptions for evolution of pavement performance d...
in this paper, a new approach is proposed in order to select an optimal membership function for inputs of wind speed prediction system. then using a fuzzy method and the stochastic characteristics of wind speed in the previous year, the wind speed modeling is performed and the wind speed for the future year will be predicted. in this proposed method, the average and the standard deviation of in...
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