scheduling has become an attractive area for artificial intelligence researchers. on other hand, in today's real-world manufacturing systems, the importance of an efficient maintenance schedule program cannot be ignored because it plays an important role in the success of manufacturing facilities. a maintenance program may be considered as the heath care of manufacturing machines and equip...

results multilayer perceptron (mlp) artificial neural network (ann) model with a 1-6-1 structure was chosen which explained 97% and 95% of kd and koc variances, respectively. the only input data was soil organic carbon content. conclusions based on this study, the ann method is a promising alternative for conventional methods in modeling and estimating sorption coefficients in relation to soil ...

background: reported cases of uncontrolled use of pesticides and its produced effects by direct or indirect exposition, represent a high risk for human health. therefore, in this paper, it is shown the results of the development and execution of an algorithm that predicts the possible effects in endocrine system in fisher 344 (f344) rats, occasioned by ingestion of malathion. methods: it was re...

conclusions results showed that ann is a powerful tool for predicting sorption coefficients using soil organic carbon content variations. results the multilayer perceptron (mlp) artificial neural networks (ann) model with 1-6-1 layout, predicted nearly 98% of the variance of kd as well as 94% of the koc variations with soil organic carbon content. materials and methods data of this study were d...

This paper describes a distributed implementation of a scalable heterogeneous associative logic programming model, and describes an abstract instruction set for the distributed version of the model. Associative computation exploits data parallel computation. The implementation uses PVM for architecture independence, and uses object oriented programming for modularity and portability. Performanc...

In this paper, we consider the problem of modeling application scenarios characterized by variability over time and involving heterogeneous kinds of knowledge. The evolution of distributed technologies creates new and challenging possibilities of integrating different kinds of problem solving methods, obtaining many benefits from the user point of view. In particular, we propose here a multilay...

This study searches on design and setting up problems of a knowledge-based system for distance learning from the perspective of distributed artificial intelligence with MAS-CommonKADS methodology as background for both component and multi-agent description. In this way, the tasks of a tutorial intelligent system have been distributed in a set of independent items that cooperate each other with ...