The paper studies a credit market model with endogenous credit cost and debt constraints in which multiple candidates for steady state equilibria arise. We use dynamic programming (DP) with flexible grid size to locate thresholds that separate different domains of attraction. More specifically, we employ DP to (1) compute present value borrowing constraints and thus creditworthiness, (2) locate...

mobile robot navigation is one of the basic problems in robotics. in this paper, a new approachis proposed for autonomous mobile robot navigation in an unknown environment. the proposedapproach is based on learning virtual parallel paths that propel the mobile robot toward the trackusing a multi-layer, feed-forward neural network. for training, a human operator navigates themobile robot in some...

The RCE algorithm, which can be considered as belonging to the category of the Region of Influence (ROI) incremental algorithms, is one of the first and most widely used incremental algorithms. It is well known that the performance of this algorithm is limited by constraints affecting the initial parameter settings: order in which input patterns are presented during the training phase and initi...

urban settlements and their connectivity will be the dominant driver of global change during the twenty-first century. in an attempt to assess the effects of urban growth on available land for other uses and its associated impacts on environmental parameters, we modeled the change in the extent of gorgan city, the capital of the golestan province of iran. we used landsat tm and etm+ imagery of ...

Large-scale data management is a critical problem in a distributed system such as cloud,P2P system, World Wide Web (WWW), and Data Grid. One of the effective solutions is data replicationtechnique, which efficiently reduces the cost of communication and improves the data reliability andresponse time. Various replication methods can be proposed depending on when, where, and howreplicas are gener...

In this paper, to cope with the stochastic dynamic (or multi-period) problem, two new quadratic assignment-based mathematical models corresponding to the dynamic and static approaches are developed. The product demands are presumed to be dependent uncertain variables with normal distribution having known expectation, variance, and covariance that change from one period to the next one, randomly...