Intelligent Systems Assignment Coursework Example | Topics and Well Written Essays - 3250 words

Intelligent Systems Assignment - Coursework ExampleThe neural networks aid in the relationship of parameters of the tumor with the write of temperature over the mamilla model. There is a comparison of the obtained relationship to the virtuoso obtained by an element softw are pack climb on (Bradbury 2007). There is a possibility of determining the parameters of the give the bouncecer with a five and ten percent hit-or-miss noise. With ten percent noise, the estimation accuracy deteriorates for tumors which are deep-seated. INTRODUCTION Breast jakescer in women is mutual making it an international concern. Every year about two hundred thousand new cases are reported. There is estimation that more than one million women are not aware that they have the cancer (Bradbury 2007). Infrared imaging is one of the conventional ways that were used in the detection of the cancer. Abnormal scratch temperatures may be used as an indication of benign tumors and cancer. The objective of the neural networks is to develop a regularityology to be used in the estimation of different parameters of the malignant tumor (Kings 1996). The report consort to breast cancer and the different neural networks used in the methodology estimation. Demonstration of the methodology is make by the use of a simple model, in the illustration of the details and the involved procedures. Various conditions of the cancerous tumor were used to illustrate the neural networks generality (Millburn 2000). The diagnosing of breast cancer is a significant medical problem in the real world. An important class of medical science problems involves the disease diagnosis. This is ground on various performed tests upon the patient (Rockville 2008). When there is an involvement of several tests, the final diagnosis may be obtained in a difficult manner, even for experts in the medical field. This has given an increase, over a a few(prenominal) most recent decades, to diagnostic computerized tools (Hill 2012). This are intended to help the physician in reaching a sensible conclusion out of data confusion. Much research has been done on medical diagnosis of the cancer. A learning algorithm combines annealing logarithmic simulated with perceptron algorithm and an accuracy of almost one hundred percent is reported (Hagan 1996). Breast cancer is commonest cancer type in women. Men can also get breast cancer, but this accounts for a much lesser percentage of all diagnosed cases of breast cancer (Hill 2012). Atleast one in every eight women develops cancer once in her lifetime, that is, if they live upto the age of eighty five. More than a half of women diagnosed with breast cancer are fifty years and older. The absolute majority of the rest are between thirty nine and forty years of age. Breast cancer can easily be handle if detected at an early stage (Hagan 1996). It can be treated successfully before it spreads out all over the body. Nine out of ten women diagnosed with cancer, liv e a minimum of an extra five years if their cancer is detected early enough. Once the cancer spreads to early(a) parts of the body, it becomes difficult to completely treat it (Rockville 2008). The disease can be controlled using certain method of treatment if it has already spread to other parts of the body. Initially, breast cancer develops in the breast tissue, in the milk ducts and in the glands (Hunt 2008). This cancer type is still considered breast cancer, even if its discovery comes after