Stock trend forecasting is a one of the main factors in choosing the best investment, hence prediction and comparison of different firms’ stock trend is one method for improving investment process. Stockholders need information for forecasting firm’s stock trend in order to make decision about firms’ stock trading. In this study stock trend, forecasting performs by data mining algorithm. It sho...

Association rule mining is used to find association relationships among large data sets. Mining frequent patterns is an importantaspect in association rule mining. In this paper, an algorithm named Apriori-Growth based on Apriori algorithm and the FP-tree structure is presented to mine frequent patterns. The advantage of the Apriori-Growth algorithm is that it doesn’t need to generate condition...

Abstract: In this paper, an exergy analysis approach is proposed for optimal design of distillation column by using simulated annealing algorithm. First, the simulation of a distillation column was performed by using the shortcut results and irreversibility in each tray was obtained. The area beneath the exergy loss profile was used as Irreversibility Index in the whole column. Then, First Opti...

With the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. One of the major problems in text classification relates to the high dimensional feature spaces. Therefore, the main goal of text classification is to reduce the dimensionality of features space. There are many feature selection methods. However...

An improved version of the pruned-enriched-Rosenbluth method (PERM) is proposed and tested on finding lowest energy states in simple models of lattice heteropolymers. It is found to outperform not only the previous version of PERM, but also all other fully blind general purpose stochastic algorithms which have been employed on this problem. In many cases, it found new lowest energy states misse...

The innumerable shapes of plant leaves present a challenge to the explanatory power of biophysical theory. A model is needed that can produce these shapes with a small set of parameters. This paper presents a simple model of leaf shape based on a growth algorithm, which governs the growth rate of leaf tissue in two dimensions and hence the outline of the leaf. The growth of leaf lobes is govern...

This working paper proposes a new type of algorithm for the discovery of invariant, higher-order concepts in variable, noisy data. The algorithm is novel in that it is based on the unlimited addition of nodes and links to a recurrent connectionist network. Nodes are created to represent patterns of co-activation of existing nodes that are not sufficiently accounted for by existing nodes. This a...

in this paper, we have studied the effect of population on iranian economic growth by using optimal growth theory. optimal growth theory is a nonlinear dynamic planning. classical approaches in mathematics are used for solving these nonlinear systems. but, in this study, we have used genetic algorithm (ga) method. as results show, it seems that population growth in previous years (1350- 1386), ...

abstract-due to the important role productivity plays in future decision making and programming, the productivity indexes should have accurate quantities. in this study, auto-regressive distributed lag (ardl) and genetic algorithm (ga) methods are applied to time series of 1978-2008 to accurately measure total factor productivity (tfp) in the agricultural sector of iran. the comparison of these...