In this paper, we present an approach for approximate maximum likelihood parameter learning in discriminative field models, which is based on approximating true expectations with simple piecewise constant functions constructed using inference techniques. Gradient ascent with these updates shows interesting weak-convergence behavior which is tied closely to the number of errors made during infer...

In this paper, an adaptive neuro fuzzy sliding mode based genetic algorithm (ANFSGA) controlsystem is proposed for a pH neutralization system. In pH reactors, determination and control of pH isa common problem concerning chemical-based industrial processes due to the non-linearity observedin the titration curve. An ANFSGA control system is designed to overcome the complexity of precisecontrol o...

a neuro-fuzzy modeling tool (anfis) has been used to dynamically model cross flow ultrafiltration of milk. it aims to predict permeate flux and total hydraulic resistance as a function of transmembrane pressure, ph, temperature, fat, molecular weight cut off, and processing time. dynamic modeling of ultrafiltration performance of colloidal systems (such as milk) is very important for designing ...

Episodic memory involves flexible retrieval processes that allow us to link together distinct episodes, make novel inferences across overlapping events, and recombine elements of past experiences when imagining future events. However, the same flexible retrieval and recombination processes that underpin these adaptive functions may also leave memory prone to error or distortion, such as source ...

One of the fundamental problems in Bayesian statistics is approximation posterior distribution. Gibbs sampler and coordinate ascent variational inference are renownedly utilized techniques that rely on stochastic deterministic approximations. In this paper, we define sets densities frequently used inference. We shall be concerned with clarification two schemes from set-theoretical point view. T...

Abstract Initial residual stress is the main reason causing machining deformation of workpiece, which has been deemed as one most important aspects quality issues. The inference distribution initial inside blank significant meaning for control. Due to principle error existing detection methods, there are still challenges in practical applications. Aiming at problem field, an method by incorpora...

ProbLog is a recently introduced probabilistic extension of Prolog. The key contribution of this paper is that we extend ProbLog with abilities to specify continuous distributions and that we show how ProbLog’s exact inference mechanism can be extended to cope with such distributions. The resulting inference engine combines an interval calculus with a dynamic discretization algorithm into an ef...

Systems of fuzzy relation equations are considered as models of fuzzy inference systems. A proper use of an inference mechanism connected to a fuzzy relation modelling a fuzzy rule base is certified by keeping the fundamental interpolation condition. The paper aims at new solutions of systems of fuzzy relation equations and introduces new solvability criteria.

Rule–based expert systems proved to be a successful AI technology in a number of areas. Building such systems requires creating a rulebase, as well as providing an effective inference mechanism that fires rules appropriate in a given context. The paper briefly discusses main rule inference algorithms Rete, TREAT and Gator. Since large rulebases often require identifying certain rule clusters, m...