Soft Computing Practical File

The neural network is composed of an input of 12 neurons presenting in the X values, an output layer with 2 neurons presenting in the Y values and hidden layer with 10

The processing unit of a single - layer perceptor network can be able to solve the

For standard backpropagation algorithm, an approximate steepest descent rule will be used. The performance index is approximated by equation

The training is divided into two phases: learning phase and testing phase. In the learning phase, an iterative which updated the synoptic weights is formed upon the error BP (Back Propagation) algorithm. In the testing phase the number of input and output parameters as well as the cases number influenced the neural network,whereas the trained results is then compared to the target to make a decision about the continuing of the iteration or the obtained results is concluded. The common ANN structure for the three architectures is (3X3), which means three neurons in the input layer and three neurons in the hidden layer. The training of each ANN architecture designs are shown in the following: fig.3, fig.4 and fig.5,

0.00 P 14 35.00 13 32.50 5 12.50 13 32.50 U 18 45.00 24 60.00 32 80.00 27 67.50 N 5 12.50 3 7.50 3 7.50 0 0.00 HN 0 0.00 0 0.00 0

If you ever take a walk one day, look around at all of the electronics, whether it's the woman on her smartphone downloading the latest app, or the man on his laptop updating his profile on facebook. There is always going to be electronics around you, and all of those electronics are changing. Those changes need to be developed and then those developments need to be made sure that they are in tip top shape. I want to be that person who makes sure that those electronics stay in tip top shape. I have wanted to be a computer mechanic since late elementary school, when I first learned about how fun it was to take apart computers and build them better and faster. I know there is more to the computer repairing industry then just opening computers and looking inside for anything wrong with it. There is reading all of the error codes and finding out the problem and fixing it. But reading error code and fixing those problem are something that is very useful to be able to know how to do, and could have many uses for outside of just working.

You want the least expensive backup device for a file under 1MB. Which of the following should you choose?

An important field in computer science today is artificial intelligence. The novel approaches that computer scientists use in this field are looked to for answers to many of the problems that have not been solved through traditional approaches to software engineering thus far. One of the concepts studied and implemented for a variety of tasks in artificial intelligence today is neural networks; they have proven successful in offering an approach to some problems in the field, but they also have some failings.

When I was eleven years old I went into my dad’s office and looked around for metal mechanisms. I shuffled through the bins that were filled with the foreign pieces and ran my hands against the cold metal that made up the parts. I could see all the little lines and components on the parts which to me looked like a some kind of mechanical city which was once generated with surges of electricity. I decided that I really wanted to build and operate one of these mechanical city's. My dad has built many computers and at times I would watch him fiddle with the wires and different parts. I would occasionally hand him a flashlight, so he could look around the dark case, which would make me feel like I am contributing something.

In behavior of an ANN depends in each of the weights and the input-output function (transfer function) that is selected for the units. This function usually located into one of three types[10]:

In behavior of an ANN depends in each of the weights and the input-output function (transfer function) that is selected for the units. This function usually located into one of three types[8]:

The paper has been divided into 5 parts. Part II presents the summary of various neural networks used. Part III consists of the selection of data and error analysis. Results of simulation are discussed in Part IV. Part V concludes the paper and presents ideas on future work.

This report outlines the business analysis planning proposal steps to prevent the Inaccuracy in delivery of products by foodstuffs employees that brings loss to company. There are different factors that are the main reason of Inaccuracy.

In this work balckman and bartlett window is used. In this work three neural network algorithms i.e. FFDTD, FFBP and RBF have been used and result obtained by these algorithms have been compared and it found that RBF gives better result than other two algorithms i.e. FFDTD and FFBP.

ANN consists of a large number of parallel processing neuros, working independently and connecting to each other by weighted links. It is capable of simulating complex nonlinear system due to its ability of self-learning, self adaption and generalization. The feed forward neural network (FFNN), with one input layer, one or more hidden layer and one output layer, is employed in this study. BP algorithm, firstly introduced by Rumelhart, is employed for training. The global error