organizational forgetting is new concept that recently entered to organization and management literature and researchers attend to it. current research investigates the effect of organizational forgetting (intentional and accidental) on organizational learning process. research design is descriptive, survey and in terms of goal is applicable. data was gathered by means of researcher made questi...

this research seeks to determine the dimensions of organizational forgetting management and prioritize them in university. current research in terms of purpose is applicable. in terms of data, it is quantitative. in terms of method, it is a descriptive-survey research. in this research, for determining the validity of measurement tool, content validity has been used and for calculating the reli...

This paper develops adaptive step-size blind LMS algorithms and adaptive forgetting factor blind RLS algorithms for code-aided suppression of multiple access interference (MAI) and narrowband interference (NBI) in DS/CDMA systems. These algorithms optimally adapt both the step size (forgetting factor) and the weight vector of the blind linear multiuser detector using the received measurements. ...

This paper deals with a method of quantifying the harmonic contribution each source to system voltage distortion. Assessing individual sources is essential for mitigating and managing levels. Harmonic contributions can be evaluated using principle superposition equivalent models sources. In general, parameters are estimated numerically because it difficult measure them directly. this paper, we ...

The recursive least squares (RLS)-type whitening algorithm is shown to be a useful solution for improving the convergence rate of the least mean square (LMS)-type whitening algorithm, but the RLStype algorithm with a constant forgetting factor requires a tradeoff between the convergence speed and steady-state misadjustment. By using a convex combination of two RLS algorithms with different forg...

A recursive generalized extended stochastic forgetting gradient algorithm is used to identify the dual-rate stochastic systems based on the polynomial transformation technique. A time-varying forgetting factor is included to improve the rate of convergence. The intersample output estimation algorithm is also studied in the paper. Finally, a simulation example shows that the algorithm is excelle...

BACKGROUND Selectively testing parts of learned materials can impair later memory for nontested materials. Research has shown that such retrieval-induced forgetting occurs for low-integrated materials but may be prevented for high-integrated materials. However, previous research has neglected one factor that is ubiquitous in real-life testing: affective state. METHODOLOGY/PRINCIPAL FINDINGS W...