Systems, and Neural Networks

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19 Οκτ 2013 (πριν από 3 χρόνια και 9 μήνες)

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Artificial Intelligence, Expert
Systems, and Neural Networks

Group 10

Cameron Kinard

Leaundre Zeno

Heath Carley

Megan Wiedmaier


Artificial Intelligence

Expert Systems

Neural Networks

Business Use

Real World Application

What is Artificial Intelligence?

A branch of science dealing with behavior,
learning, and adaptation in machines.

Two Categories



The two most common types of AI are
expert systems and neural networks.

Conventional Artificial Intelligence

A method involving the use of structured
formulas and statistical analysis.

Methods include

Expert systems

Case based reasoning

Bayesian networks

Behavior based AI.

Computational Artificial Intelligence

The method of analyzing existing
information and recognizing patterns.
Simply put, it has the ability to learn from
existing information.

Methods include

Neural networks

Evolutionary computation

Fuzzy systems.

What is an Expert System?

A program structured by a set of rules and
procedures that take the knowledge, supplied by
an expert, and recommend a course of action in
order to solve specific problems.

They use reasoning to work through problems
and offer recommendations that address these

They are ideal for diagnostic and prescriptive

They are usually built for specific applications
called domains.

Expert System Use

Field use


Financial management


Process control

Medication prescription

In many other domains

Expert Systems


Its gathering and use of expertise

They can perform many functions that will
benefit organizations

Reduction in training costs

Decrease human error

Providing consistent answers to repetitive tasks

Safeguard sensitive company information

Expert Systems


Its inability to solve problems for which it
was not designed

Its inability to use common sense and
judgment to solve newly encountered

What is a Neural Network?

Artificial intelligence systems that can be
trained to recognize patterns and adapt to
new concepts and knowledge.

They are not bound by a set of rules
designed for a specific application.

They are able to imitate the human ability
to process information without following a
set of rules.

What are Neural Networks?

They use interconnecting neurons to
produce an output.

A neural network uses its neurons
collectively to execute its functions.

A neuron is the basic functioning element in a
neural network that takes inputs and produces

This allows the neural network to continue
performing even if some of its neurons are
not functioning

Neural Network Use

They are useful for identification, classification,
and forecasting when dealing with a large
amount of information.

They are used in speech and visual recognition.

Field use





Insurance industries


Neural Networks


They can adjust to new information on
their own.

They are able to function without
structured information.

They are able to process large volumes of

Neural Networks


The neural networks have hidden layers.

The fact that these layers are hidden
prohibits users from adjusting the
connections reducing control of the

Overall Business Use

The systems increase completion rates
and decrease error by reducing human

These systems protect information and
utilize knowledge more efficiently to make
intelligent decisions.

Companies can gain an edge over their
competitors by implementing these

Real World Applications



Credit Card Companies



Medical Fields


Artificial Intelligence

Expert Systems

Neural Networks

Business Uses

Real World Applications

Any questions?