This paper demonstrates the role of connectionist (neural network) models in reasoning beyond that of an associative memory. First we show that there is a connection between propositional logics and the weighted-sum computation customarily used in connectionist models. Speci cally, the weighted-sum computation can handle Horn clause logic and Shoham's logic as special cases. Secondly, we show h...

Due to constant decrease in farmlands, it is important to identify the best lands for sustainable agriculture (productive and profitable agriculture that protects the environment and that is socially equitable). This requirement has resulted in the development of land suitability maps for agriculture by combining a range of factors. Spatial analysis approaches, based on the concepts of the weig...

In order to lowering level of emissions of internal combustion engines (ICEs), they should be optimally controlled. However, ICEs operate under numerous operating conditions, which in turn makes it difficult to design controller for such nonlinear systems. In this article, a generalized unique controller for idle speed control under whole loading conditions is designed. In the current study, in...

Wind energy is becoming a potential source for renewable and clean energy. An important factor that contributes to efficient generation of wind power is the use of appropriate wind turbine. However, the task of selecting an appropriate, site-specific turbine is a complex problem. The complexity is due to the presence of several conflicting decision criteria in the decision process. Therefore, a...

We develop and study change point detection estimation procedures for the covariance kernel of functional data based on norms a generally weighted process partial sample estimates. It is shown under mild weak dependence moment conditions that in absence detector integrating such over parameter asymptotically distributed as norm Gaussian process, which furnishes consistent procedure. further der...

A computational method is presented for minimizing the weighted sum of squares of the differences between observed and expected pairwise distances between species, where the expectations are generated by an additive tree model. The criteria of Fitch and Margoliash (1967, Science 155:279-284) and Cavalli-Sforza and Edwards (1967, Evolution 21:550-570) are both weighted least squares, with differ...

Definition A Gaussian Mixture Model (GMM) is a parametric probability density function represented as a weighted sum of Gaussian component densities. GMMs are commonly used as a parametric model of the probability distribution of continuous measurements or features in a biometric system, such as vocal-tract related spectral features in a speaker recognition system. GMM parameters are estimated ...

We present a new way to encode weighted sums into unweighted pairwise constraints, obtaining the following results. – Define the k-SUM problem to be: given n integers in [−n, n] are there k which sum to zero? (It is well known that the same problem over arbitrary integers is equivalent to the above definition, by linear-time randomized reductions.) We prove that this definition of k-SUM remains...