Neural Networks And Their Applications
Thread Rating:
  • 1 Vote(s) - 1 Average
  • 1
  • 2
  • 3
  • 4
  • 5
computer science crazy
Super Moderator

Posts: 3,048
Joined: Dec 2008
22-09-2008, 09:58 AM

An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true of ANNs as well.

Historical background
Neural network simulations appear to be a recent development. However, this field was established before the advent of computers, and has survived several eras. Many important advances have been boosted by the use of inexpensive computer emulations. The first artificial neuron was produced in 1943 by the neurophysiologist Warren McCulloch and the logician Walter Pitts.

Neural networks, with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques. A trained neural network can be thought of as an "expert" in the category of information it has been given to analyze. This expert can then be used to provide project and implimentationions given new situations of interest and answer "what if" questions.
Other advantages include: -

1. Adaptive learning: An ability to learn how to do tasks based on the data given for training or initial experience.
2. Self-Organisation: An ANN can create its own organization or representation of the information it receives during learning time.
3. Real Time Operation: ANN computations may be carried out in parallel, and special hardware devices are being designed and manufactured which take advantage of this capability.
4. Fault Tolerance via Redundant Information Coding: Partial destruction of a network leads to the corresponding degradation of performance. However, some network capabilities may be retained even with major network damage.

Neural networks have been successfully applied to broad spectrum of data-intensive applications, such as:

1.Voice Recognition - Transcribing spoken words into ASCII text.

2.Target Recognition - Military application which uses video and/or infrared image data to determine if an enemy target is present.

3.Medical Diagnosis - Assisting doctors with their diagnosis by analyzing the reported symptoms and/or image data such as MRIs or X-rays.
Use Search at wisely To Get Information About Project Topic and Seminar ideas with report/source code along pdf and ppt presenaion

Important Note..!

If you are not satisfied with above reply ,..Please


So that we will collect data for you and will made reply to the request....OR try below "QUICK REPLY" box to add a reply to this page
Tagged Pages: seminar on neural network applications pdf, computer networks, neural networks and their applications ppt, abstract on neural network and their application ppt, neural networks and their applications ppt download, topics in neural networks and its applicaitons, neural network applications,
Popular Searches: neural networks applications ppt, nanocomposite applications**, neural networks projects, applications of geogrid encasement, applications of intetnet, applications of organomettalic combount, applications of internent,

Quick Reply
Type your reply to this message here.

Image Verification
Please enter the text contained within the image into the text box below it. This process is used to prevent automated spam bots.
Image Verification
(case insensitive)

Possibly Related Threads...
Thread Author Replies Views Last Post
  Cut Detection in Wireless Sensor Networks pdf project girl 2 1,220 16-07-2015, 09:21 PM
Last Post: Guest
  computational intelligence in wireless sensor networks ppt jaseelati 0 351 10-01-2015, 03:10 PM
Last Post: jaseelati
  nanochemistry applications ppt jaseelati 0 254 18-12-2014, 02:11 PM
Last Post: jaseelati
  MANETS: MOBILE ADHOC NETWORKS seminar projects crazy 2 1,961 11-06-2014, 09:44 AM
Last Post: seminar project topic
  Towards Reliable Data Delivery for Highly Dynamic Mobile Ad Hoc Networks seminar ideas 11 3,912 02-04-2014, 12:50 PM
Last Post: Guest
  Computer Science and Applications seminar ideas 2 6,664 20-03-2014, 04:28 PM
Last Post: navasfiroz
  Bluetooth Based Smart Sensor Networks (Download Full Seminar Report) Computer Science Clay 91 68,782 04-03-2014, 12:46 AM
Last Post: nikhil goyal
  Computerized Paper Evaluation using Neural Network computer science crazy 11 8,901 03-02-2014, 03:21 PM
Last Post: Guest
  Vehicular Ad Hoc Networks (VANETs): Challenges and Perspectives seminar poster 0 463 29-10-2013, 01:40 PM
Last Post: seminar poster
  CLUSTERING IN WIRELESS SENSOR NETWORKS PPT project girl 1 1,183 14-10-2013, 09:30 AM
Last Post: Guest