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A new feedforward architecture is presented for empirical model building and regression. The network consists of two hidden layers of units, where each unit utilizes a piece-wise linear activation function. A procedure for determining both the number of units and their connectivity is developed. The most notable feature of the network is its associated(More)
To enhance performance and safety, structures of all types are made " smart " with the addition of sensors. These sensors require power, but in some cases conventional power supply methods are inadequate. Ideally, these sensors would convert the available ambient energy into electrical energy. This thesis develops and examines a prototype energy harvesting(More)
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