In the present work, an artificial neural network (ANN) model was used to study the quantitative structure retention relationship (QSRR) of retention index (RI) of some volatile compounds in natural cocoa and conched chocolate powder. Molecular structural descriptors are selected using genetic algorithm to construct the nonlinear QSRR models, kernel partial least squares PLS (KPLS) and Levenber...

This long-lasting point in his life due to economic developments, social and cultural development of the Industrial Revolution, the foundation has been transformed. Today, the need for rehabilitation and restoration of these islands what the city increases, the need to develop a coherent and logical connection between the old and new areas to preserve and enhance the integrity and identity of...

Dynamic network data envelopment analysis (DNDEA) has attracted a lot of attention in recent years. On one hand the available models in DNDEA evaluating the performance of a DMU with interrelated processes during specified multiple periods but on the other hand they can only measure the efficiency of dynamic network structure when a supply chain structure present. For example, in the banking in...

in this study artificial neural network (ann) was used for modeling of wastewater treatment plants with using. for this purpose, the base of the quality parameters measured at the plant input, plant output value was predicted. neural network input data, including temperature (t), biochemical oxygen demand (bod), chemical oxygen demand (cod), total suspended solids (tss), total solids (ts) and p...

multi-criteria evaluation methods (mcem) have been widely used in the scientific arena as well as in urban and regional planning. the analytic network process (anp) is one the mcem that includes relevant tangible as well as intangible criteria and sub-criteria. it allows for a more complex relationship among the decision levels and attributes, as it does not require a strict hierarchical struct...

We investigate the long held but empirically untested assumption that diverse networks drive performance by providing access to novel information. We build and validate an analytical model of information diversity, develop theory linking network structure to the distribution of novel information among actors and their performance, and test our theory using a unique ten month panel of email comm...

Networked systems, natural or designed, have always been part of life. Their sophistication degree and complexity have increased through either natural evolution or technological progress. However, recent theoretical results have shown that a previously unexpected number of different classes of networks share similar network architectures and universal laws. Examples of such networks include me...

Complex social networks have received increasing attention from researchers. Recent work has focused on mechanisms that produce scale-free networks. We theoretically and empirically characterize the buyer-supplier network of the US economy and find that purely scale-free models have trouble matching key attributes of the network. We construct an alternative model that incorporates realistic fea...