In [1] a interconnected system consisted of two sub-systems is studied, which leads to a generalized small-gain theorem, which gives the express of the gain of the output of the interconnected system w.r.t external input signals. However, sometimes we are interested in the gain from the input to the output of each sub-system. Such a result will offer more flexibility in control synthesis. For t...

soil water retention curve is one of the crucial input parameters in any modeling study on water flow and solute transport in soils. direct measurement of soil water retention curve is time-consuming and costly. alternatively, pedotransfer functions (ptfs) may be used to indirectly estimate the soil water retention curve from easily measured soil properties. many equations for the soil water re...

soil hydraulic properties such as soil water characteristic curve are necessary prerequisite for modeling water movement and solute transport. direct methods of estimating these hydraulic properties are time consuming and costly. indirect methods, such as pedotransfer functions, estimate the hydraulic parameters using easy-to-measure soil properties like particle size distributions, bulk densit...

An effective neural network algorithm of the perceptron type is proposed. The algorithm allows us to identify strongly distorted input vector reliably. It is shown that its reliability and processing speed are orders of magnitude higher than that of full connected neural networks. The processing speed of our algorithm exceeds the one of the stack fast-access retrieval algorithm that is modified...

This paper presents a modified RBF network with additional linear input connections together with a hybrid training algorithm. The training algorithm is based on kmeans clustering with square root updating method and Givens least squares algorithm with additional linear input connections features. Two real data sets have been used to demonstrate the capability of the proposed RBF network archit...

We generalize the formulation of associative reservoir computing networks to multiple input modalities and demonstrate applications in image and audio processing scenarios. Robust association with reservoir networks requires to cope with potential error amplification of output feedback dynamics and to handle differently sized input and output modalities. We propose a dendritic neuron model in c...

das erlernen einer zweiten sprache neben der erstsprache, n?mlich der muttersprache, gilt als zweitspracherwerb. man kann verschiedene formen des zweitspracherwerbs unterscheiden und zwar je nachdem, in welchem alter, auf welche weise, mit welchen zielen und bis zu welchem grad der sprachbeherrschung die neue sprache gelernt wird. aber es spielt eine besonders gro?e rolle, ob diese neue sprache...

This paper focuses on developing self-adapting automatic object detection systems to achieve robust performance. Two general methodologies for performance improvement are first introduced. They are based on optimization of parameters of an algorithm and adaptation of the input to an algorithm. Different modified Hebbian learning rules are used to build adaptive feature extractors which transfor...

This paper proposes a modification to the traditional binary search algorithm in which it checks the presence of the input element with the middle element of the given set of elements at each iteration. Modified binary search algorithm optimizes the worst case of the binary search algorithm by comparing the input element with the first & last element of the data set along with the middle elemen...

Input variable selection is a key preprocess step in any I/O modelling problem. Normally, better generalization performance is obtained when unneeded parameters coming from irrelevant or redundant variables are eliminated. Information theory provides a robust theoretical framework for performing input variable selection thanks to the concept of mutual information. Nevertheless, for continuous v...