Question

Explain how Artificial Neural Networks can be integrated into Expert Systems to improve their performance

Answer 1

Artificial Intelligence-The field of artificial intelligence (AI) is worried about strategies for creating systems that show parts of smart conduct. These systems are intended to mirror the human capacities of reasoning and detecting. Artificial intelligence is a science and innovation dependent on orders, for example, software engineering, science, brain research, semantics, arithmetic, and designing. The objective of AI is to create PCs that can think, see, hear, walk, talk and feel. A significant push of AI is the advancement of PC works regularly connected with human intelligence, for example, thinking, learning, and critical thinking.

Expert Systems Work-The quality of an ES gets from its information base - a sorted out assortment of realities and heuristics about the system's space. An ES is worked in a procedure known as information building, during which information about the area is gained from human experts and different sources by information engineers. The amassing of information in information bases, from which ends are to be drawn by the derivation motor, is the sign of an expert system. . Information portrayal is the strategy used to sort out the information in the information base. Information bases must speak to ideas as moves to be made under conditions, causality, time, conditions, objectives, and other more significant level ideas.

A few techniques for information portrayal can be drawn upon. Two of these strategies include:

1. Edge based systems - are utilized for building incredible ESs. A casing indicates the qualities of a mind boggling article and edges for different item types have determined connections.

2. Creation rules - are the most widely recognized strategy for information portrayal utilized in business. Rule-based expert systems are expert systems in which the information is spoken to by creation rules.

Expert System Technology-

1-Specific expert systems - These expert systems really give proposals in a particular assignment area.

2. Expert system shells - are the most widely recognized vehicle for the advancement of explicit ESs. A shell is an expert system without an information base. A shell outfits the ES engineer with the induction motor, UI, and the clarification and information procurement offices. Space explicit shells are really inadequate explicit expert systems, which require significantly less exertion so as to handle a genuine system.

3. Expert system advancement conditions - these systems grow the capacities of shells in different ways. They run on designing workstations, minicomputers, or centralized computers; offer tight joining with enormous databases; and bolster the structure of huge expert systems.