نتایج جستجو برای: soft computing and idw
تعداد نتایج: 16873547 فیلتر نتایج به سال:
In this paper we describe how soft computing techniques use in the problem solving approach as we did it as early in a hard computing or traditional define rule base approach. Soft Computing techniques are fuzzy logic and genetic algorithms, Artif icial Neural Networks and Expert System. Soft computing techniques have mainly two important advantages. Firstly, to solve the non-linear problems an...
Soft computing is a synergistic combination of artificial intelligence methodologies to model and solve real world problems that are either impossible or too difficult to model mathematically. Furthermore, the use of conventional modeling techniques demands rigor, precision and certainty, which carry computational cost. On the other hand, soft computing utilizes computation, reasoning and infer...
Spatial interpolation methods are widely used in various fields and have been studied by several scholars with one or a few specific sampling datasets that do not reflect the complexity of the spatial characteristics and lead to conclusions that cannot be widely applied. In this paper, three factors that affect the accuracy of interpolation have been considered, i.e., sampling density, sampling...
INTRODUCTION Clinical practice guidelines recommend different levels of dietary protein intake in predialysis chronic kidney disease (CKD) patients. It is unknown how effectively these recommendations perform in a multi-ethnic Asian population, with varied cultural beliefs and diets. We assess the profi le of protein intake in a multi-ethnic Asian population, comparing healthy participants and ...
The aim of this commentary is to discuss the contribution of soft computing—a consortium of fuzzy logic, neural network theory, evolutionary computing, and probabilistic reasoning—to the development of case-based reasoning (CBR) systems. We will describe how soft computing has been used in case representation, retrieval, adaptation, reuse, and case-base maintenance, and then present a brief sum...
This paper discussed possible application of soft computing methods in uncertainty management of the HR component in steel industry during automation period. It explained the importance of HR and the concept of uncertainty management. Then it discussed what to look in soft computing for uncertainty management. Keywords-HR, Soft Computing, space mapping, surrogate model, uncertainty management
Using the interpolation/extrapolation skills of core function an iterative adaptive controller, a structurally simple single essential layer neural network-based topological structure is suggested with fast and explicit single-step teaching data-retrieving abilities. Its operation does not assume massive parallelism, therefore it easily can be simulated by sequential program codes needing sophi...
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