In this paper, a new approach of modeling for Artificial Neural Networks (ANNs) models based on the concepts of fuzzy regression is proposed. For this purpose, we reformulated ANN model as a fuzzy nonlinear regression model while it has advantages of both fuzzy regression and ANN models. Hence, it can be applied to uncertain, ambiguous, or complex environments due to its flexibility for forecas...

Artificial neural networks (ANN) are nonparametric models and like all nonparametric models require a large number of observations to build and evaluate the model. But data is always finite and most often scarce in real world applications. The question now becomes: How does a modeler build an ANN model on a limited sample size and obtain an accurate and reliable estimate the model’s error? The ...

The NSL Neural Simulation Language provides a platform for building neural architectures (modeling) and for executing them (simulation). NSL is based on object-oriented technology and provides modularity at all model development levels. In this chapter we discuss these basic concepts and how NSL takes advantage of them. NSL, now in its third major release, is a neural network simulator which is...

in last decade, with the entry of spirituality in organizational and managementresearch, spirituality leadership, also, has attracted a considerable amount of attention.in this study, with a developmental approach and after using experts' opinions andliterature for identifying leaders' spiritual traits and behaviors, we aim to model themusing adaptive neural-fuzzy inference systems. e...

The authors present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). They apply it to learning and recognition of situations composed of objects. NMF successfully overcomes the combinatorial complexity of associating subsets of objects with situations and demonstrates fast and reliable convergence. The implications of the current results for building m...

Ore grade estimation is a key aspect in the evaluation of a mineral deposit. In this paper an alternative approach to currently applied methods of ore grade estimation is presented. This alternative approach involves a modular neural network system integrated in a state of the art 3D resource modelling package. The need for a new method of ore grade estimation comes from the difficulties in app...