Single Parents Case Study

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A Study on the Issues/Problems Pertaining to Single Parents-Layered Feed Forward Neural Network A.Praveen Prakash Department of Mathematics Hindustan University Padur, Chennai - 603103 V.Shrimathi Department of Mathematics Guru Nanak College Velacheri, Chennai-600042 J.Esther Jerlin Department of Mathematics Hindustan University Padur, Chennai - 603103 Copyright © 2014 A.Praveen Prakash, V.Shrimathi and J.Esther Jerlin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Parenting is an important…show more content…
Health wise too they are affected due to over work, stress and trauma they face. Naturally it affects the normal growth and development of the children. The society look at the single mother always with suspicion. The child doesn’t enjoy the equal status in the peer group. Due to single income the education of the child stops in the middle. The marriage of the girl born out of we lock or living with the single parent in the absence of the father becomes a question mark. The problems faced by the single parents and the children from such families suffer a lot if the persons turn out to be a women/girl one can imagine the problems they encounter. 2. Layered feed forward neural network Artificial neural network is a computational structure that is inspired by observed processes in natural networks of biological neurons in the brain. It consists of simple computational units called neurons in the brain, that are highly interconnected .Each interconnection has a strength that is expressed by a number referred to as weight. The basic computational units of neural networks are artificial neurons. A single neuron has n inputs x1,x2…xn, whose values are real numbers, and one output y. Inputs of neurons associated with real numbers w1,w2…wn referred as weights. The output depends on the weighted sum of inputs in terms of a non-linear function which is called…show more content…
X0 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 -1 0.82 0.68 0.56 0.56 0.46 0.68 0.58 0.58 0.54 0.52 0.6 0.78 0.48 Using equation (2) we can calculate the output yi When =1 y1 y2 y3 y4 y5 0.99 0.99 0.99 0.99 0.99 Thus to make a fuzzy analysis we use the same experts opinion define the fuzzy set where E = {E1,….E7} 0.85 0.7 < Ei < 0.8 (E) = 0.9 0.8 < Ei < 0.9 1 0.9 < Ei < 1.0 Experts Avg.weight Wt.M.E.N.N Fuzzy set value (E) Difference between Wt.M.E.N.N and (E) Expert 1 0.6 0.99 1 0.01 Expert 2 0.58 0.99 1 0.01 Expert 3 0.65 0.99 1 0.01 Expert 4 0.64 0.99 1 0.01 Expert 5 0.48 0.99 1 0.01 4. Conclusion According to our Y value we confirm that all the experts’ opinion are more or less same when .When the graph obtained is linear inn shape (as defined in sigmoid function). The difference between both the values i.e Wt.M.E.N.N and Fuzzy set value (E) which shown in the last column of the table clearly tells that the results are in positive values which concluded that all the problems listed above were all seriously experienced by the single parents in surviving their life in this

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