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Application Of Evolutionary Neural Network Architecture Bharadwaj Krishnamurthy Abstract I am investigating the effectiveness of a new evolutionary neural network model developed in the Smart Engineering Systems Laboratory at UMR by Amber Fischer. This model incorporates modularity of functionality and the evolution of exploratory mechanisms for the evolution of a network of spiking neurons. Current Work • Right now I am building an architecture of spiking neurons for recognition of sound signals. The papers that I am referring to are: 1)http://neuron.princeton.edu/~moment/Organis m/Docs/paper.pdf 2)http://neuron.princeton.edu/~moment/Organis m/Docs/paperII.pdf Current Work Cont… • Why am I doing this? Once I build a simple neural network architecture with spiking neurons on my own, I will be in a better position to work with amber’s evolutionary neural network architecture with spiking neurons. Current Work Cont… • I am also working on a paper which investigates the effectiveness of Amber’s network in solving group technology problems. Abstract: Group technology has a number of methods that seek to identify similarities between the design of a product and the manufacturing processes that are involved in its production. Current Work Cont… Abstract (Cont): The advantage of employing group technology is that, that parts that undergo similar manufacturing operations can be grouped together, reducing machine setup and down time. In this paper we are investigating if the group technology problem could be solved using biologically inspired evolving neural networks Future work • Right now the evolutionary architecture • developed by amber is not integrated and is in the form of different chapters. I am planning to integrated all the chapters into one single architecture. Once this is done, I am planning to investigate the effectiveness of this architecture in data mining and other real time problems. My Contact • You can reach me at: [email protected]