A Neural-Network-Based Method of Modeling Electric Arc Furnace Load for Power Engineering Study

The original curriculum design for the Department of Construction Engineering of CYUT was to expose students to a broad knowledge in engineering and applied science rather than

Performance metrics, such as memory access time and communication latency, provide the basis for modeling the machine and thence for quantitative analysis of application performance..

SG is simple and effective, but sometimes not robust (e.g., selecting the learning rate may be difficult) Is it possible to consider other methods.. In this work, we investigate

Dynamic programming is a method that in general solves optimization prob- lems that involve making a sequence of decisions by determining, for each decision, subproblems that can

For your reference, the following shows an alternative proof that is based on a combinatorial method... For each x ∈ S, we show that x contributes the same count to each side of

It is concluded that the proposed computer aided text mining method for patent function model analysis is able improve the efficiency and consistency of the result with

This study proposed the Minimum Risk Neural Network (MRNN), which is based on back-propagation network (BPN) and combined with the concept of maximization of classification margin

This study proposed the ellipse-space probabilistic neural network (EPNN), which includes three kinds of network parameters that can be adjusted through training: the variable