Neural networks : the official journal of the International Neural Network Society
Aug 24, 2015
The paper presents a novel encoding scheme for neuronal code generation for odour recognition using an electronic nose (EN). This scheme is based on channel encoding using multiple Gaussian receptive fields superimposed over the temporal EN responses...
IEEE transactions on nanobioscience
Aug 24, 2015
Recent advances in machine learning, specifically in deep learning with neural networks, has made a profound impact on fields such as natural language processing, image classification, and language modeling; however, feasibility and potential benefit...
Neural networks : the official journal of the International Neural Network Society
Aug 21, 2015
A challenging problem when studying a dynamical system is to find the interdependencies among its individual components. Several algorithms have been proposed to detect directed dynamical influences between time series. Two of the most used approache...
Computational intelligence and neuroscience
Aug 20, 2015
Fuzzy Counter Propagation Neural Network (FCPN) controller design is developed, for a class of nonlinear dynamical systems. In this process, the weight connecting between the instar and outstar, that is, input-hidden and hidden-output layer, respecti...
IEEE transactions on cybernetics
Aug 19, 2015
Motivated by neuroscience discoveries during the last few years, many studies consider pulse-coupled neural networks with spike-timing as an essential component in information processing by the brain. There also exists some technical challenges while...
Genetics and molecular research : GMR
Aug 19, 2015
The correct classification of individuals is extremely important for the preservation of genetic variability and for maximization of yield in breeding programs using phenotypic traits and genetic markers. The Fisher and Anderson discriminant function...
Neural networks : the official journal of the International Neural Network Society
Aug 18, 2015
The current big data deluge requires innovative solutions for performing efficient inference on large, heterogeneous amounts of information. Apart from the known challenges deriving from high volume and velocity, real-world big data applications may ...
Neural networks : the official journal of the International Neural Network Society
Aug 18, 2015
The application of biologically inspired methods in design and control has a long tradition in robotics. Unlike previous approaches in this direction, the emerging field of neurorobotics not only mimics biological mechanisms at a relatively high leve...
Neural networks : the official journal of the International Neural Network Society
Aug 17, 2015
In this paper, the synchronization problem for neural networks with stochastic perturbation is studied with intermittent control via adaptive aperiodicity. Under the framework of stochastic theory and Lyapunov stability method, we develop some techni...
Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Aug 15, 2015
Applying Artificial Neural Network to an alpha spectrometry system is a good idea to discriminate the composition of environmental and non-environmental materials by the estimation of the (234)U/(238)U activity ratio. Because it eliminates limitation...