The abstract mathematical theory of partial differential equations (PDEs) is formulated in terms of manifolds,scalar fields, tensors, and the like, but these algebraic structures a...
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
We have developed a theory of sharing which captures the behaviour of programs with respect to shared data into the framework of process algebra. The core theory can describe prog...
We present a unifying solution to the problem of fusion of functions, where both the producer function and the consumer function have one accumulating parameter. The key idea in t...
We present a visual language for strategies in game theory, which has potential applications in economics, social sciences, and in general science education. This language facilit...