Prediction of Competitive Microbial Growth

Improving Microbial Growth Prediction By Product Unit Neural Networks

This paper presents a new approach to the Artificial Neural Networks (ANN) modelling of bacterial growth; using Neural Network models based on Product Units (PUNN) instead of on sigmoidal units (MLP) of kinetic parameters (lag-time, growth rate and maximum population density) of Leuconostoc mesenteroides and those factors affecting their growth such as storage temperature, pH, NaCl and NaNO 2 c...

Competitive and Sustainable Growth

Table 1 The GADGET-matrix (Hatakka et al. 1999) Table 2 Scenarios for level 1, Vehicle manoeuvring Table 3 Scenarios for level 2, Mastering traffic situations Table 4 Scenarios for level 3, Goals and context of driving Table 5 Scenarios for level 4, Goals for life and skills for living Table 6 Combination of three levels of driver performance and three levels of driving tasks Table 7 Suggestion...

prediction of ignition delay period in d.i diesel engines

a semi-empirical mathematical model for predicting physical part of ignition delay period in the combustion of direct - injection diesel engines with swirl is developed . this model based on a single droplet evaporation model . the governing equations , namely , equations of droplet motion , heat and mass transfer were solved simultaneously using a rung-kutta step by step unmerical method . the...

A SEGMENTED REGRESSION MODEL FOR DESCRIPTION OF MICROBIAL GROWTH

A segmented regression model for the description of microbial growth has been suggested. The model is able to predict the exponential growth, logistic growth, logistic growth with a phase of decline, diauxic growth, microbial growth in synchronous cultures and the oscillatory growth

Competitive and Sustainable Growth (growth) Programme