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- W208447597 abstract "Abstract : Efficient reliable neural network design methods based on sound principles were developed. The main effort was concentrated on exploring the nature of error surfaces attempting to answer the question of how many minima actually exists in any given design. To this end the following experimental approach was taken: Define a scaleable model problem with a known solution, Perform comprehensive, careful training experiments, Refine training solutions to highly accurate minima, Post process and count local minima, and Derive quantitative and qualitative measures that describe error surfaces. The Principal results show: How the number of minima varies as a function of the ration of training to network size, the probability that training from a random start converges to a minimum, and How the number of minima increase with network complexity." @default.
- W208447597 created "2016-06-24" @default.
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- W208447597 date "1995-05-29" @default.
- W208447597 modified "2023-09-24" @default.
- W208447597 title "Neural Networks for Interactive Image and Signal Exploitation." @default.
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- W208447597 doi "https://doi.org/10.21236/ada299479" @default.
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