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ABSTRACT
Today, lipases stand amongst the most important biocatalysts. Thermostable bacterial lipases occupy a place of prominence among biocatalysts owing to their novel, multifold applications and resistance to high temperature and other operational conditions. The capability of lipases to catalyze a variety of novel reactions in both aqueous and nonaqueous media presents a fascinating field for research, creating interest to isolate novel lipase producers and optimize lipase production. The most important stages in a biological process are modeling and optimization to improve a system and increase the efficiency of the process without increasing the cost.
Response surface methodology (RSM) is an empirical modeling system for developing, improving, and optimizing of complex processes. RSM assesses the relationships between the response(s) and the independent variables, and defines the effect of the independent variables, alone or in combination, in the processes.
Indeed an ANN is a massively interconnected network structure consisting of many simple processing elements capable of performing parallel computation for data processing. The fundamental processing element of ANNs (the artificial neuron) simulates the basic functions of biological neurons
