Artificial neural networks - artificial intelligence, Computer Engineering

Assignment Help:

Artificial Neural Networks - Artificial intelligence:

Decision trees, while strong, are a easy representation method. While graphical on the surface, they may be seen as disjunctions of conjunctions, and hence are  logical representation, and we call such type of methods symbolic representations. In this lecture,  we see  at  a non-symbolic  representation  method also known as  Artificial Neural Networks. This term is often reduced to Neural Networks, but this annoys neuron-biologists who deal with actual neural networks (inside our human brains).

As the name shows, ANNs have a biological inspiration, and we concisely look at that first. Following this, we see in detail at how data is represented in ANNs, then we see at the easiest type of network, two layer networks. We see at  perceptions  and  linear  units,  and talk about  the  boundaries  that  such  easy networks have. In the next lecture, we talk about multi-layer networks and the back- propagation algorithm for learning these networks.

Biological Motivation

In our conversation in the very first lecture about how people have reacted the question: "How are we going to have an agent to work intelligently", one of the answers was to realize that  intelligence in  individual humans is resulted by our brains. Neuro - scientists have told us that the brain is made up of architectures of networks of neurons. At the most essential level, neurons may be seen as methods which, when provided some input, will either fire or not fire, depending on the character of the input. The input to fix neurons arises from the senses, but in common, the input to a neuron is a set of outputs from other neurons. If the input to a neuron goes over a fix threshold, then the neuron will fire. In this way, one neuron firing will influence the firing of various other neurons, and information may be stored in terms of the thresholds set and the weight assigned by every neuron to every of its inputs.

Artificial Neural Networks (ANNs) are constructed to mimic the behavior of the brain. Some ANNs are built into hardware, but the wide majority are simulated in software, and we focus on these. It's important not to get the analogy too far, because there actually isn't much similarity between artificial and animal neural networks.  In  particular,  while  the  human  brain  is  predictable  to  contain  around 100,000,000,000 neurons, ANNs usually contain less than 1000 comparable units.

Moreover, the interconnection of neurons is much superior in normal systems. Also, the method in which ANNs store and manipulate information is a gross overview of the way in which networks of neurons work in normal systems.


Related Discussions:- Artificial neural networks - artificial intelligence

Create an input buffer, Q. Create an input buffer ? CODE SEGMENT ......

Q. Create an input buffer ? CODE SEGMENT ... MOV AH, 0AH                       ; Move 04 to AH register MOV DX, BUFF                   ; BUFF must be defined in data

Chemistry, what are the applications of photochemistry?

what are the applications of photochemistry?

Convert integer into numerical equivalents, Convert the following integers ...

Convert the following integers into their numerical equivalents in the indicated bases. Be sure to use the correct number of significant figures for each case and show how the corr

Token packets - universal serial bus, Token packets in universal serial b...

Token packets in universal serial bus - computer architecture: Token packets consist of a PID byte followed by two payload bytes: a 5-bit CRC and 11 bits of address. Tokens

What is importance of ras and cas in sdram, What is importance of RAS and C...

What is importance of RAS and CAS in SDRAM? SDRAM acquires its address command into two address words. This uses a multiplex scheme to save input pins. The initial address word

How dreamweaver work in layout view, Q. How Dreamweaver Work in Layout View...

Q. How Dreamweaver Work in Layout View? Dreamweaver has two visual design views-Standard view and Layout view. You will start by working in Layout view, which allows you to dra

What is uml, ? UML is called as Unified Modeling Language. ? it is used...

? UML is called as Unified Modeling Language. ? it is used to Graphical language for visualizing artifacts of the system. ? It Allow to make a blue print of all the aspects

How to turn on the session support in php, The session support can be turne...

The session support can be turned on automatically at the site level, or manually in every PHP page script: * Turning on session support automatically at the site level: Set s

Scoreboards- constrained-random verification methodology, Scoreboards- Cons...

Scoreboards- Constrained-Random Verification Methodology Scoreboards are used to verify that data has successfully reached its destination whereas monitors snoop the interfaces

Branch (control) hazards in computer architecture, Branch (control) hazards...

Branch (control) hazards in computer architecture : Branching hazards (also called control hazards) take place when the processor is told to branch -for example, if a defin

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd