Conflict-directed search algorithms have formed the core of practical, model-based reasoning systems for the last three decades. At the core of many of these applications is a series of discrete constraint optimization problems and a conflict-directed search algorithm, which uses conflicts in the forward search step to focus search away from known infeasibilities and towards the optimal feasibl...

A new class of search-based training algorithms for feedforward networks is introduced. These algorithms do not calculate analytical gradients and do not use stochastic or genetic search techniques. The forward step is performed to calculate error in response to localized weight changes using systematic search techniques. One of the simplest variants of this type of algorithms, the Variable Ste...

There are many algorithms for optimizing the search engine results, ranking takes place according to one or more parameters such as; Backward Links, Forward Links, Content, click through rate and etc. The quality and performance of these algorithms depend on the listed parameters. The ranking is one of the most important components of the search engine that represents the degree of the vitality...

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...

Feature Selection techniques usually follow some search stra tegy to select a suitable subset from a set of features Most neural network growing algorithms perform a search with Forward Selection with the ob jective of nding a reasonably good subset of neurons Using this link be tween both elds feature selection and neuron selection we propose and analyze di erent algorithms for the constructio...

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...

Memory often requires knowledge of the order of events. Previous findings about immediate judgments of relative order in short, subspan lists are variable regarding whether participants' strategy is to search memory in the forward direction, starting from the first list item and progressing toward the end item, or in the backward direction, starting from the end item and progressing toward the ...

The article is related to the study of export procedures and their documentation for various types transportation. Research objective are analyse role different entities in whole process; a brief on air cargo; statistical analysis representation data; evaluate problem suggested solutions system. A research design detailed blueprint used guide towards its objectives. It helps collect, measure da...

In this paper a new procedure for designing forward-wave directional couplers using periodic shunt short circuited stubs is proposed. A new type of cell using these stubs, which enlarge the phase difference between even- and odd modes of a uniform microstrip coupled line is introduced. Using the equivalent circuit model for even- and odd-modes of the proposed cell, the elements of the  ABCD tra...