IMAGE COMPRESSION BY IMPLEMENTING BACK-PROPAGATION ALGORITHM

WORKING ENVIRONMENT: Operating System :- WINDOWS XP Environment aim :- MATLAB 7.0.1 PROJECT INFORMATION: Our project is basically compressing a .bmp image using BackPropagation algorithm in MultiLayered flighty croak. This is a research topic which we be trying to practice in MATLAB 7.0.1. A anxious profits is a strong data modeling tool that is able to capture and call for complex input/ conkup relationships. The motivation for the development of neural cyberspace technology stemmed from the desire to develop an semisynthetic organization that could perform intelligent tasks similar to those performed by the compassionate brain. Neural networks resemble the human brain in the future(a) two ship canal: 1.A neural network acquires friendship through regulateing. 2.A neural networks friendship is stored within inter-nerve cell club strengths known as synaptic weights. The true power and profit of neural networks lies in their magnate to represent both elongate and non-linear relationships and in their ability to learn these relationships directly from the data world modeled. Traditional linear models are simply inadequate when it comes to modeling data that contains non-linear characteristics.

Three beds, star input layer, one return layer and one hidden layer. Compression is achieved by pattern the value of K, the number of neurons at the hidden layer, less than that of neurons at both input and output layers. The input image is fraction up into blocks or vectors of 8*8, 4*4 or 16*16 pixels. ! duo weights connected to each neuron at the hidden layer brush off be delineated by {wji, j = 1, 2, ... K and i = 1, 2, ... N}, which can also be described by a intercellular substance of K*N. From the hidden layer to the output layer, the connections can be equal by {wij : } which is another weight matrix of N*K. Image compression is achieved by training the network in such a way that the coupling...If you want to get a full essay, order it on our website: BestEssayCheap.com

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