CAM : A Spreading Activation Network Model of Subcategory Positioning

CAM : A Spreading Activation Network Model of Subcategory Positioning when Categorization Uncertainty is High JOSEPH LAJOS ZSOLT

Category Activation Model: A Spreading Activation Network Model of Subcategory Positioning When Categorization Uncertainty Is High

We develop a spreading activation model, which we call the category activation model, to predict where within a category structure consumers are likely to position a subcategory that they have created to accommodate a new hybrid product. Based on this model, we hypothesize that the probability that an individual will position a new category subordinate to a particular category i is proportional...

Models of EFL Learners’ Vocabulary Development: Spreading Activation vs. Hierarchical Network Model

Semantic network approaches view organization or representation of internal lexicon in the form of either spreading or hierarchical system identified, respectively, as Spreading Activation Model (SAM) and Hi- erarchical Network Model (HNM). However, the validity of either model is amongst the intact issues in the literature which can be studied through basing the instruction compatible wi...

Designing an integrated relief pre-positioning network with perishable commodities

In this paper, a bi-objective model is proposed for designing a pre-positioning network of pharmaceutical supplies considering their limited shelf-life. The presented model aims to consider both cost efficiency and responsiveness by minimization of total cost and the maximum amount of unmet demand under uncertainties in demand and supply sides’ data. Moreover, for effective distribution of reli...

Solving the local positioning problem using a four-layer artificial neural network

Today, the global positioning systems (GPS) do not work well in buildings and in dense urban areas when there is no lines of sight between the user and their satellites. Hence, the local positioning system (LPS) has been considerably used in recent years. The main purpose of this research is to provide a four-layer artificial neural network based on nonlinear system solver (NLANN) for local pos...