Intelligent systems - neural networks - Essay Example

Comments (0) Cite this document
A Neural Network is defined as an interconnected assembly of simple processing elements, units or nodes, whose functionality is loosely based on the animal brain. The processing ability of the network is stored in the inter-unit connection strengths, or weights, obtained by a process of adaptation to, or learning from, a set of training patterns…
Download full paperFile format: .doc, available for editing
GRAB THE BEST PAPER96.1% of users find it useful
Intelligent systems - neural networks
Read TextPreview

Extract of sample
"Intelligent systems - neural networks"

Download file to see previous pages The user can produce training, validating and querying files using the facilities in EasyNN or using any editor, word processor or spreadsheet that supports text files. EasyNN can learn from training data and can self authenticate while learning. It can be queried from a file or interactively. EasyNN can produce spreadsheet like output and results files. All graphs and diagrams are restructured during training and querying so the user can see how the neural networks are working.
The EasyNN-Plus has a number of shortcuts, and power keys which allows an advance user to carry out their task quiet efficiently. Despite the fact that for the new users who are not conversant in it can find it quiet difficult in the beginning and puzzling as to how to use the software, and this may take a lot of time and patience.
At the same time as using EasyNN the user does not in fact learn how to create the neural network, as EasyNN mechanize the process of producing a neural network the steps produce the network is quiet unseen from the user. EasyNN uses mathematical literacy as the backbone of the information provided by the user. This lets EasyNN-Plus to provide several views of a neural network, and also increases the uses of using EasyNN-Plus to produce neural networks for a few different things e.g. forecasting, data validation, and customer research.

EasyNN used the algorithm as back propagation. The differences from most other back propagation based applications are the data structures and the way the data is presented to the learning algorithm. EasyNN uses double linked lists to store the examples, the nodes and the connections. The lists can be managed quickly in both directions at the same time. The lists can also be extended and contracted dynamically.

The EasyNN estimates the number of neurons required and determines how the network will learn. It maximizes the learning rate and thrust by running a few learning cycles with different values before actual training. EasyNN can then automatically decrease them if there is inconsistent learning or if oscillations in training error take place. The user can change these values, however again to be able to do so with confidence requires considerable knowledge about the software, the data set and the neural network.

A specific advantage of using EasyNN software is that it has validation built in. This is used to avoid the neural network from becoming "overfitted" to the training data. The user can select the percentage of the training data to be used for validation. Another useful tool in EasyNN is the integrated function for handling missing values. This function replaces the missing value with the median of the affected attribute in the training dataset in both training and evaluation.

The data being used here is medical information on possible patients suffering from diabetes. A number of patients may or may not have diabetes and this network is going to be built to predict whether or not a patient has diabetes with the data available.

The first stage in building a network using EasyNN is to provide the software with the appropriate data it is going to need. In this instant a .txt file was imported into EasyNN containing all the data the program require to build the network including the names for each column and their values. Other formats ...Download file to see next pagesRead More
Cite this document
  • APA
  • MLA
(“Intelligent systems - neural networks Essay Example | Topics and Well Written Essays - 3250 words”, n.d.)
Retrieved from
(Intelligent Systems - Neural Networks Essay Example | Topics and Well Written Essays - 3250 Words)
“Intelligent Systems - Neural Networks Essay Example | Topics and Well Written Essays - 3250 Words”, n.d.
  • Cited: 0 times
Comments (0)
Click to create a comment or rate a document
Neural Networks for handwriting recognition
...?NEURAL NETWORKS FOR HANDWRITING RECOGNITION Table of Contents Artificial Neural Networks (ANNs) 6 Neural Network Recognizer 7 Recurrent Neural Networks  7 Long Short-Term Memory (LSTM) 8 Bidirectional Recurrent Neural Networks 9 Connectionist Temporal Classification (CTC) 9 Training the Individual Nets 10 ANNs for Handwriting Recognition 12 Types of ANN for Handwriting Recognition 13 Methods for ANN Based Handwriting Recognition 14 Bidirectional Long Short-Term Memory 14 Integration with an External Grammar 16 ANN Features Extraction 17 Future Direction 17 Conclusion 18...
16 Pages(4000 words)Essay
Intelligent building
...17,500 MWh of electricity per year and offsets about 15,000 tonnes of CO2 emissions per year (Asian Solar, 2009). In contrast, the UAE requires 6,600 MW or about $5,000m (Asian Solar, 2009). Aside from the solar power plant, Masdar City will also develop the Masdar Institute of Science and Technology with focus on information technology, water and environment, engineering systems and management, materials science and engineering, mechanical engineering, amongst others (Reiche, 2009). It targeted to open by fall of 2009. Masdar also is geared towards attracting some 1500 technological companies engaged in sustainable energy. It helps that Masdar is a free zone, which meant that companies maybe 100% foreign owned, zero...
14 Pages(3500 words)Assignment
Neural Networks their responses. This modeling is afterward used to direct further mailshots. In signal processing neural networks are used to suppress line noise, with adaptive echo canceling, blind source separation. Neural networks are used in robotics (which is the branch of artificial intelligence and deals with making intelligent robots). In this scenario, neural networks are used to control navigation, vision recognition. In conclusion, this paper has presented a detailed overview of neural networks. An artificial neural network is a data...
4 Pages(1000 words)Research Paper
Critical review of ITS (Intelligent Transport Systems)
...?CRITICAL REVIEW OF INTELLIGENT TRANSPORT SYSTEMS 0 Overview If transportation really enhances speed and accessibility, then global economic development cannot see the kind speedy and accessible growth it requires in the absence of a well coordinated and effective transport system. Indeed, the relationship between transportation and economic development cannot be understated, knowing that transportation is very instrumental in all facets of the comprehensive economic progression cycle (Peirce and Curtis, 2008). Through an effective transport system, movement of logistics, services, goods, resources and people is made possible to ignite the economic and business paradigm...
10 Pages(2500 words)Essay
Intelligent Systems Assignment
.... They cannot perform on statistical inferences (Schimmel 1999). Simulation of results was done using a neural network toolbox. Three different neural networks were used; radial basis function, neural network based on probability and a regression neural network (Rolph 1991). They were applied to show the neural networks’ performance on the database. The use of the neural networks is shown in this report, and the methods in which they can be used to diagnose breast cancer clinically. Through the application of this...
13 Pages(3250 words)Coursework
Computer Networks and Operating systems
...RFC 2030 Network Time Protocol (NTP Network Time Protocol is used to synchronize computer clocks in World Wide Web scenario. It has been describedby Network Working Group in their Request for Comments: 1305 specifications. NTP standardize the process of time synchronization between national time and frequency dissemination services helps in time synchronization of subnet of a network. It helps in adjusting the local clock in each participating subnet peer in a local network. It promises the accuracies of 1-50 ms, depending on the characteristics of the synchronization source and network paths. RFC-1305 specifies the NTP Version 3 protocol...
10 Pages(2500 words)Essay
Networks Systems & Technologies
...layer and other offices in the next layer. At each location, the network will follow a “star” network All offices will be connected by WAN and all devices at each location will be connected through LAN Active Directory will be used to provide access to users to the network and various IT applications and systems. Users can connect remotely from outside the company offices through VPN application. VLAN will be implemented to make optimum usage of the network resources and remove any physical user location constraints. Firewall will be installed between internet and network as well as between the servers and end user desktops and...
12 Pages(3000 words)Essay
Detection masses in digital mammography images using neural networks
...Research Proposal Topic of Thesis: ‘Detecting masses in digital mammography images using neural networks’ Objective The basic objective of the thesisis to detect masses in digital mammography images using neural networks. I will develop a hybrid system that will also include the advantages of previous CAD systems. The new system will be able to mark breast abnormalities on digital and film mammograms more effectively than the previous CAD systems. Background A group of cancer cells starts growing into the surrounding breast tissues causing a malignant tumor, which is known as breast cancer. About one out...
2 Pages(500 words)Thesis
Artificial Intelligent Neural Networks
...Artificial Intelligent Neural Networks In this paper, the history of artificial intelligence is considered. Specifically, the development of artificial intelligence in robotics has been considered. The application of these developments in the development of unmanned or driverless cars has also been made. Consideration of computer vision, Artificial Neural Networks (ANN) has also been considered. It was clear that these developments can be very useful in the development of an unmanned car, but still more needs to be done since an unmanned car would need higher artificial intelligence than is found in these...
6 Pages(1500 words)Assignment
Neural Networks
...Neural Networks The movie, exmachina explores the use of robots to perform tasks that seem to be beyond the human’s capabilities. This is achieved through ‘teaching’ the robot in a form of machine learning and implementing the cognitive abilities of humans into the robot but with the high levels inventory of course. The robots are therefore made adaptive as much as possible so that they can accept varied inputs and learn faster with ease since they develop higher recognition levels for patterns, sounds or even light intensities. With neural networks the robot are able to check their payload; the load capacity they can contain in any operation and there be able to know the maximum load beyond which it fails or develop dramatic loss... in...
2 Pages(500 words)Movie Review
sponsored ads
We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.
Let us find you another Essay on topic Intelligent systems - neural networks for FREE!
logo footer
Contact us:
Contact Us Now
FREE Mobile Apps:
  • StudentShare App Store
  • StudentShare Google play
  • About StudentShare
  • Testimonials
  • FAQ
  • Blog
  • Free Essays
  • New Essays
  • Essays
  • Miscellaneous
  • The Newest Essay Topics
  • Index samples by all dates
Join us:
Contact Us