Perceptron training, Computer Engineering

Perceptron training:

Here the weights are initially assigned randomly and training examples are needed one after another to tweak the weights in the network. Means all the examples in the training set are used and the entire process as using all the examples again is iterated until all examples are correctly categorised through the network. But the tweaking is called as the perceptron training ruleso then is as follows: There if the training example, E, or is correctly categorised through the network so then no tweaking is carried out. Whether E is mis-classified and then each weight is tweaked by adding on a small value and Δ. Let suppose here that we are trying to calculate weight wi that is between the i-th input unit and xi and the output unit.

After then given that the network should have calculated the target value t(E) as an example E but in reality we calculated the observed value o(E) and then Δ is calculated as: 

Δ = η (t(E)- o(E))xi 

Always note that η is a fixed positive constant that called the learning rate. By ignoring η briefly we can see that the value Δ that we add on to our weight wi is calculated through multiplying the input value xi through t(E)  -  o(E). t(E)  -  o(E) will either be +2 or -2 it means that perceptrons output only +1 or  -1 so t(E) cannot be equal to o(E) or else we wouldn't be doing any tweaking. Now we can think of t(E) - o(E) as a movement in a general numerical direction that is, positive or negative. It means that this direction will be like, if the overall sum, S, was too low to get over the threshold and produce the correct categorisation  rather then the contribution to S from wi  * xi will be increased.

Posted Date: 1/11/2013 7:00:35 AM | Location : United States







Related Discussions:- Perceptron training, Assignment Help, Ask Question on Perceptron training, Get Answer, Expert's Help, Perceptron training Discussions

Write discussion on Perceptron training
Your posts are moderated
Related Questions
Hardware Implementation for signed-magnitude data When multiplication  is  implemented  in  digital  computer,  we  change  process lightly. Here, in place of providing registe

Q. What is Accumulator Register? Accumulator Register (AC):  This register is used to store data temporarily for computation by Arithmetic and logic unit (ALU).  AC generally c

Q. Illustrate what is a crest? Answer:- In electromagnetic waves or else ocean waves for that matter a crest is the peak or maximum height of the waveforms. A channel is t

Q. Explain about integrated circuit? An integrated circuit is created on a thin wafer of silicon that is splitted into a matrix of small areas (size of the order of a few m.m.

At a shop of marbles, packs of marbles are prepared. Packets are named A, B, C, D, E …….. All packets are kept in a VERTICAL SHELF in random order. Any numbers of packets with thes

What are overlays? To enable a process to be larger than the amount of memory allocated to it, overlays are used. The idea of overlays is to keep in memory only those instructi

Receive a message. tid is integer task identifier of transmitting process supplied by user and msgtag is message tag supplied by user( must be non negative integer). The process re


a luminous jewel game c programming start with t and end with t the output will yes or no