文章基本信息

标题：Tumor Detection Using Genetic Algorithm
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作者：Prateeksha Chouksey ; K. N. Hande
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：1
页码：428-431
语种：English
出版社：Ayushmaan Technologies
摘要：Linear Programming (LP) is the process of taking various linear inequalities together and find out the “best” optimal solution. Linear programming problems arise in real-life economic situations where profits are to be maximized or costs to be minimized. This paper shows the flexibility of neural networks for modeling and solving diverse linear programming problems. Advantage of using neural networks to solve problems includes powerful computation and less time required. The proposed system is to build the neural network model by using back propagation algorithm for solving linear programming problem. Here the neurons are trained by using back propagation algorithm. This system will provide powerful computation and the computational time required is low.
关键词：Linear Programming;Neural Network;Back Propagation;Training and Testing