APPLICATION OF NEURAL NETWORK TO SOLVING ENVIRONMENTAL PROBLEMS Application of Neural Network to Solving Environmental Problems Author Author Affiliation Date Introduction An artificial neural network (ANN) is a collection of data structures and programs that is nearly equal to the process of the human brain…
In addition, they are very helpful for solving those problems which are difficult to resolve through customary techniques, as well as often a lot of them have been tackled through neural networks, for example analysis of seismic signals, forecasting grassland community or solar radiation, control of chaotic dynamical systems, data and air quality control and categorization of remotely sensed information (Benvenuto & Marani, 2000), (Giles, 1998) and (Laudon & Laudon, 1999). This paper outlines the application of neural network to solving environmental problems. One of the major environmental difficulties and challenges that require using well-organized software tools is the forecast issues. These forecasting issues include meteorological forecast, water, soil, air, flood prediction, pollution forecast and many more. In the past, numerous techniques based on the artificial intelligence have been designed and implemented by taking into account that they are able to present additional informed techniques that utilize domain specific information as well as offer solutions faster than the customary techniques those are based on mathematical techniques (Oprea & Matei, 2010). ...
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In this scenario, a neural network encompasses a wide variety of processors that work collaboratively, each with its own small sphere of facts and makes use of the data in its local memory. In addition, an ANN can be considered as a computer program or simulation that is built through a wide variety of clear-cut and extremely unified processing components
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This research work intends to optimise the parameters of CNC milling process
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3 Pages(750 words)Research Paper
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