An Introduction to Practical Neural Networks and Genetic by Christopher MacLeod

By Christopher MacLeod

Show description

Read Online or Download An Introduction to Practical Neural Networks and Genetic Algorithms For Engineers and Scientists PDF

Similar introduction books

Investing Online for Dummies, 5th Edition

All people talks approximately it—how a lot it can save you , and earn, should you commence a web funding software. If you’ve determined you’re able to discover what all of the excitement’s approximately, you’re in success. making an investment on-line For Dummies has been thoroughly revised and up-to-date with the newest instruments, sites, rule adjustments, and guidance which may make on-line making an investment effortless and ecocnomic.

Introduction to Product/Service-System Design

The growing to be desire for firms to deal with provider layout, in addition to product layout, in an built-in demeanour is turning into more and more very important throughout a few industries. Product/Service process (PSS) is a promising company version that businesses can use to extend their sustainability in a mature economic climate.

Becoming Your Own China Stock Guru: The Ultimate Investor's Guide to Profiting from China's Economic Boom

In turning into your individual China inventory Guru, James Trippon, who runs the biggest self sufficient fairness funding examine company in Mainland China, finds find out how to take advantage of the funding possibilities to be had within the upward thrust of the world’s most modern fiscal superpower. Trippon has invested within the chinese language marketplace for greater than 20 years and made his consumers thousands of bucks within the technique.

Introduction a l'etude du travail

Translation of: creation to paintings learn, 4th rev. ed. , 1992

Extra info for An Introduction to Practical Neural Networks and Genetic Algorithms For Engineers and Scientists

Example text

As an example, consider the automatic control of a washing machine. Inputs to the network could be the weight of load, the amount of washing power, the hardness of the water and the program chosen by the user. Outputs could be water temperature, washing cycle type and length of each stage. The beauty of this type of system is that the network will interpolate its responses to make allowances for load types that it hasn’t been trained with (this is just another type of “noisy input”). Likewise, one can easily think up many similar applications with vacuum cleaners, dish-washers and ovens or other cooking appliances.

This format might include nonlinear coding and/or be compressed. Popular examples of such formats are JPEG and GIF in the case of still images and in the case of moving images, MOV, AVI or MPEG formats. All these require pre-processing before they are suitable for use in a network. 1. A good example of this type of file format is RAW, where each pixel is represented by a number, the range of which depends on the grey scale resolution of the image. As an example, in an 8 bit image, each pixel is represented by a number between 0 and 255 (decimal), this being a measure of the brightness of that pixel, with 255 being white and 0 being black.

2. 3. 4. 5. 4 Plot the weight vectors on a graph paper. Make the vectors one unit in length and replot. 8) one unit in length and plot on graph. Run input through the network and confirm winning neuron. 6) and confirm that weight vector has moved towards input vector. 1 to recognise two patterns: Pattern 1 Pattern 2 Use different initial weight vectors if necessary. 3 Advanced competitive networks The competitive networks shown above are not usually used in such a simple form, but are seen as part of a larger and more complex network.

Download PDF sample

Rated 4.28 of 5 – based on 49 votes