in this paper, two methods have been used: multi-layer perceptron artificial neural network (ann-mlp) and universal kriging to estimate of velocity field. neural network is an information processing system which is formed by a large number of simple processing elements, known as artificial nerves. it is formed by a number of nodes and weights connecting the nodes. the input data are multiplied ...

This paper describes pre-processing phase of ontology graph generation system from Punjabi text documents of different domains. This research paper focuses on pre-processing of Punjabi text documents. Pre-processing is structured representation of the input text. Pre-processing of ontology graph generation includes allowing input restrictions to the text, removal of special symbols and punctuat...

this paper originates the theory of buyer concentration for a main raw material input for a single processing industry. the oligopsony concentration is obtained and subsequently decomposed into several factors, affecting indirectly the industry’s profitability. it is found that the leading firms’ efficiencies hypothesis is reaffirmed due to variations associated with the marginal productivity d...

Although traditional signal-based structural health monitoring algorithms have been successfully employed for small structures, their application for large and complex bridges has been challenging due to non-stationary signal characteristics with a high level of noise. In this paper, a promising damage detection algorithm is proposed by incorporation of adaptive signal processing and Artificial...

the main focus in this study is on data pre-processing, reduction in number of inputs or input space size reduction the purpose of which is the justified generalization of data set in smaller dimensions without losing the most significant data. in case the input space is large, the most important input variables can be identified from which insignificant variables are eliminated, or a variable ...

This paper provides the mathematical derivation of the equivalent logic gates for spike code processing in neurons. It derives the computational equivalence between the binary code and spike code to illustrate the correspondence between binary and spike code logic operations theoretically. It identifies the similarities and differences between biological neural processing and binary logic gate ...

In robot building, attention tends to focus on internal signal processing and the way desired motor signals are generated. But equally important is the selection and configuration of the robot’s sensory resources. The degree to which sensory input informs the process of output generation directly impacts internal complexity since the more informative input signals are, the less internal process...