نتایج جستجو برای: dynamic attribute value model
تعداد نتایج: 3012764 فیلتر نتایج به سال:
the objective of this study was to determine the optimum replacement strategy using dynamic programming for dairy herds in fars province. a dairy cow is kept several lactations for milk production in the herd. after spending several lactations, milk production gradually begins to decline, while animal health problems rises simultaneously. so one of the most important management decisions of dai...
Our experiment shows that the division of attributes in value trees can either increase or decrease the weight of an attribute. The structural variation of value trees may also change the rank of attributes. We propose that our new ®ndings related to the splitting bias, some other phenomena appearing with attribute weighting in value trees, and the number-of-attribute-levels eect in conjoint a...
Although many scholars have proposed all kinds of key successful factors (KSFs) for ERP activity to smoothly enhance the implementation of ERP, the KSFs are based too much on concept and protocol cannot help an enterprise to achieve this objective. Therefore, this research through qualitative interview method, integrating the KSFs and dynamic capability to set up a model so as to exhibit the ki...
(Multi-)relational regression consists of predicting continuous response of target objects called reference objects by taking into account interactions with other objects called task-relevant objects. In relational databases, reference objects and task-relevant objects are stored in distinct data relations. Interactions between objects are expressed by means of (many-to-one) foreign key constra...
abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...
Convolutional neural network is one of the effective methods for classifying images that performs learning using convolutional, pooling and fully-connected layers. All kinds of noise disrupt the operation of this network. Noise images reduce classification accuracy and increase convolutional neural network training time. Noise is an unwanted signal that destroys the original signal. Noise chang...
The normalization of a data cube is the process of choosing an ordering for the attribute values, and the chosen ordering will affect the physical storage of the cube’s data. For large multidimensional arrays, proper normalization can lead to more efficient storage in hybrid OLAP contexts that store dense and sparse chunks differently. We show that it is NP-hard to compute an optimal normalizat...
In the paper we analyse Polish descriptive adjectives which occur in domain related texts. The experiments were done on data obtained from hospital discharge records. Prenominal adjectives selected from these texts were filtered out of presumably relative adjectives and clustered on the basis of a set of context related features and interword relations derived from Wordnet. We tested if this pr...
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