Answer:
1. High performance
The first and foremost characteristic of an expert system is to deliver high performance 24×7
2. Understandable
The expert system should be easy to comprehend for all the people using it.
3. Reliable
An expert system has to be reliable in the sense that it is error-free so that it is trustable.
4. Highly Responsive
An expert system has to be proactive and provide responses for each and every detail of the problem.
Explanation:
Description of each
and sorry if wrong, don't be mad
Answer:
Explanation:
The minimum depth occurs for the path that always takes the smaller portion of the
split, i.e., the nodes that takes α proportion of work from the parent node. The first
node in the path(after the root) gets α proportion of the work(the size of data
processed by this node is αn), the second one get (2)
so on. The recursion bottoms
out when the size of data becomes 1. Assume the recursion ends at level h, we have
(ℎ) = 1
h = log 1/ = lg(1/)/ lg = − lg / lg
Maximum depth m is similar with minimum depth
(1 − )() = 1
m = log1− 1/ = lg(1/)/ lg(1 − ) = − lg / lg(1 − )
Answer:
Explanation:
Concurrent Process model can be regarded as evolutionary process model as well as software engineering is concerned, it allows to know the current state of activities as well as their associated states.
The set of states In the concurrent process model are:
✓awaiting changes
✓Inactive
✓baselined
✓under development
✓under revision
✓under review
✓done
The stated "states" above give a representation of externally observable mode as regards to the behaviour of activities of a particular software engineering.
The existence of activities of software engineering do exist at same period
In concurrent process model, though each of the activities occur in different states so that process network is produced. The movement from one state to another of activity of software engineering is as a result of
predefined events.
Answer:
in the paragraph
Explanation:
The central limit theorem is known to be important to the study of sampling distributions because it enables us to disregard the shape of the population when the value of n is relatively large. Was this answer helpful?
