The Cascade-Correlation Learning Architecture
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...2 Cascade correlation A different approach to network construction, applicable to problems with continuous output variables, is known as cascade-correlation (Fahlman and Lebiere, 1990) and is based on networks of sigmoidal hidden units....
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...Advances on neural networks’ structure identification [6, 27] can shed some lights on this aspect....
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...216 training data and 125 checking data were sampled uniformly from the input ranges [1; 6] [1; 6] [1; 6] and [1:5; 5:5] [1:5; 5:5] [1:5; 5:5], respectively....
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Cites background from "The Cascade-Correlation Learning Ar..."
...Motivated by the idea of modeling differences between an intermediate layer’s output and the targets, which has shown to work well for many projects in the past [16, 21, 40], we introduce residual connections among the LSTM layers in a stack (see Figure 2)....
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References
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"The Cascade-Correlation Learning Ar..." refers background in this paper
...There may, of course, be other contributing factors that we have not yet identified....
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