Models such as feed-forward neural networks and certain other structures investigated in the computer science literature are not amenable to closed-form Bayesian analysis. The paper reviews the various approaches taken to overcome this difficulty, involving the use of Gaussian approximations, Markov chain Monte Carlo simulation routines and a class of non-Gaussian but “deterministic” approximat...

the object of this study was evaluation of a walking tractor drawn peanut harvester at different conditions of soil moisture content and forward speed and comparing it with manual harvesting. the evaluation factors for peanut harvester were two levels of soil moisture content and three levels of forward speed. the results revealed that the effect of soil moisture content was only significant on...

A method of quantization of classical soliton cellular automata (QSCA) is put forward that provides a description of their time evolution operator by means of quantum circuits that involve quantum gates from which the associated Hamiltonian describing a quantum chain model is constructed. The intrinsic parallelism of QSCA, a phenomenon first known from quantum computers, is also emphasized.

Abstract This report reviews three possible approaches to the assignment of confidence intervals to feed-forward neural networks, namely, bootstrap estimation, maximum likelihood estimation, and Bayesian statistics. The report concludes with a proposal for mixture modelling via Markov Chain Monte Carlo sampling to enable non-Gaussian variances to be modelled without introducing the bias caused ...

The Bayesian approach allows one to easily quantify uncertainty, at least in theory. In practice, however, MCMC can be computationally expensive, particularly in complicated inverse problems. Here we present methodology for improving the speed and efficiency of an MCMC analysis by combining runs on different scales. By using a coarser scale, the chain can run faster (particularly when there is ...

In order to help small and medium enterprises (SMEs) cluster to face the global challenges, the definition of “cluster supply chain” is put forward as a new type of management pattern, which is the combination of industrial cluster and supply chain management. However, the related research on cluster supply chain is still in its infancy, and it is difficult to put theory results into practice. ...

Food safety is related to people’s health and the sustainable development of food supply chain, so it crucial practical significance study chain quality management. This paper employs evolutionary game method develop a tripartite model that reflects interaction interests among raw material suppliers, manufacturers, consumers. It identifies key factors influence decision-making each participant ...

In order to achieve competitive advantage and better performance of firm, supply chain management (SCM) strategy should support and drive forward business strategy. It means that supply chain should be aligned with business strategy, at the same time supply chain (SC) managers need to use appropriate information system (IS) solution to support their strategy, which would lead to stay competitiv...

Internetware system are widely used in the chemical and pharmaceutical industry, effective acquisition of transition probability matrix is directly related to internetware reliability computation based on Markov chain model. The construction of Markov chain and the acquisition of transition probability of internetware are studied; the Markov chain of internetware reliability is constructed. Tra...