[PDF] Top 20 Application of neural networks in evaluation of technological time

... same time the human factor’s importance in production preparation has remained ex cep tio n ally ...the application o f the systems based on artificial intelligence attempts are made to integrate and make ... See full document

... Ensemble neural networks based wind speed prediction model predicted wind speed is highly match closely with the real wind speed of evolution on training and testing data samples ...Ensemble neural ... See full document

... Turkish day-ahead electricity market has an improving literature. Hayfavi and Talasli [7] is one of the first works, which proposes a multifactor model and compares the model with [25] and [27]. The stochastic model ... See full document

... some neural networks — including the present authors’ HONN models — are able to learn discontinuities, provided the function consists of a finite number of continuous ... See full document

... day, time, location and place occu- pancy (Gabey et ...a time stamp, scattering properties (size and/or shape) and fluores- cence ...ficial neural networks (ANNs) comprise an emerging ana- ... See full document

... where neural network are em bedded into the D uplex/T riplex control algorithm , sim ulations are run for several levels o f interfloor traffic dem and level for the improved D u p le x /T r ip le x c o n tro l s ... See full document

... From Table 1, it is clear that LR at 0.75 produced the best result in terms of both time and performance. The performance curve (Figure 5) also suggests that this has a faster convergence rate in comparison with ... See full document

... of neural networks is very dynamic and vast so that the opportunities for future research exist in many aspects, including data pre-processing and representation, architecture selection, and ...of ... See full document

... specific application is collected over specific periods and then evaluated by the programmed ...being neural networks. Neural networks is one of the main and effective methods which has ... See full document

... This paper is concerned with the application of artificial neural networks (ANN) to the forecasting of the time series generated by the 10 Year Commonwealth Treasury Bond [r] ... See full document

... Forecasting time series is a crucial and constantly growing discipline, which includes different areas such as investment analysis, Bank loan risk evaluation, speech recognition, monitoring, marketing, ... See full document

... width multiplier [61], [62] etc. In constant coefficient multiplier, the coefficient is constant which provides the opportunity to design a system with low space and high speed. In fixed width multiplier, a 2n bit ... See full document

... artificial neural networks based on quantum theoretical concepts and ...quantum neural networks are in ...quantum neural computation [6] in 1995, the quantum neural ... See full document

... but comfortable is neither a precise number nor a convincing criterion. A large number of inputs increases the number of weights to be calculated and a small number of inputs misses the information needed to estimate the ... See full document

... Project schedule and budget are identified as main success key elements. A wrong project scope definition may lead to a hike in a project’s budget and schedule. The aim of this paper is to create a model that permits us ... See full document

... of neural network is similar to human brain ...proposed neural network has the ability to learning with any application we design an automatic generation of neural networks architecture ... See full document

... (Aegilops sp.) is one of the methods of quality improvement of triticale (Gruszecka, 1998; Gruszecka and Kowalczyk, 2000). Triticale is a fodder cereal which can also be utilized in flour milling, baking, dough cooking ... See full document

... Over the past decade, there has been an exponential growth in the number and scale of online lending and crowdfunding platforms. However, these platforms lack a reliable and transparent metric to predict the ... See full document

... (CWRS) wheat and Canada Western Amber Durum (CWAD) wheat using textural features [20]. Reference [21] examined morphological and texture features of RGB color images to distinguish CWRS wheat and CWAD wheat using a back ... See full document

... artificial Neural Networks ...proposed neural pseudo random number alternator repose of two stages; the first stage is alternating a long series of arrangement from perfect equation and initial ... See full document