Neural networks are widely used for classification and regression tasks, but they do not always
perform well, nor explicitly inform us of the rationale for their predictions. In this study we …

A multilayer perceptron (MLP), a feedforward neural network with one hidden layer, is called
reducible if a hidden unit can be removed without changing the input–output function. In the …

We have investigated the behavior of magnetic rod-like particles and their relationship with
the heat generation effect for both alternating and rotating magnetic fields, by means of …

Werner syndrome (WS) is an autosomal recessive progeroid disorder caused by mutations
in RecQ DNA helicase. Ectopic soft tissue calcification is one of the well known symptoms in …

In the parameter space of MLP(J), multilayer perceptron with J hidden units, there exist flat
areas called singular regions created by applying reducibility mappings to the optimal …

In the search space of a complex-valued multilayer perceptron having J hidden units, C-MLP(J),
there exist flat areas called singular regions, as is the case with a real-valued MLP. The …

In the present study, we concentrate on the results of the unexpected characteristic that the
stable particle cluster formation induces a decrease in the degree of heating effect in an …

In the search space of a complex-valued multilayer perceptron (C-MLP) there exist flat areas
called singular regions. Although singular regions cause serious stagnation of learning, …

In a search space of multilayer perceptron having J hidden units, MLP(J), there exists a
singular flat region created by the projection of the optimal solution of MLP(J-1). Since such a …

In a search space of a multilayer perceptron having J hidden units, MLP (J), there exist flat
areas called singular regions. Since singular regions cause serious stagnation of learning, a …