Based On Neural Computing Grid Platform Architecture And Interface Design

The application environment of Artificial Neuron Network(ANN) is very complex, and ANN is always used to deal with a great lot data, so ANN needs very powerful computational ability. Then ,we introduce grid and distribution conception into ANN computational platform. Such a platform tries to construct ANN computational platform with grid. At present, using grid browsers has not been universal yet, so we have to use distributed architecture to simulate the idea of unit control and trusteeship completely in the platform.Computation platform is required for being used on different platforms and the ANN algorithms must run after simple Employment. From this point, we find that the J2EE platform provided by SUN company fits very well. J2EE is an architecture which is used to simplify the complications of development, deployment and management of enterprise solutions.We present a distributed application system based on J2EE and it makes the whole system become a multi-tier component system, loose-couple horizontally and vertically, provide flexibility, reusability, testability and extensibility. At the same time ,The computation platform leaves CORBA application programming interface, so the applications coded with other language can easily replanted to this platform. The computation platform is realized with Globus, it makes use of resources which left unused fullyThis paper constitutes of three parts. In first part ,We simply introduce the technology in our computation platform. The second part describes the design and realization of this computation platform in detail. In the third part ,we apply an ANN arithmetic on this platform to test the usability.