Project Detail
Knowledge acquisition for expert systems poses many problems. Expert systems depend on a human expert formulate knowledge in symbolic rules. It is almost impossible for an expert to describe knowledge entirely in the form of rules. In particular it is very difficult to describe knowledge acquired by experience. An expert system may therefore not be able to diagnose a case which the expert is able to. The question is how to extract experience from a set of examples for the use of expert systems.
Since implementing B2B e-commerce in small and medium enterprises (SMEs) is a long-term commitment and such enterprises are more limited in terms of resources than large enterprises, the predicted value of successful implementation is extremely useful in deciding whether to initiate B2B e-commerce. Supreme Software Technologies establishes an analytical hierarchy framework to help SMEs predicting implementation success as well as identifying the actions necessary before implementing B2B e-commerce to increase e-commerce initiative feasibility.
Just use our Self-extracting Neural Networks for your business in case of improving all sides of your business step-by-step with unique technological level of computer education and building personal business model for your industry based on your data.
