Building a Neural Computer

In the work of [Siegelmann 95] it was showed that Artificial Recursive Neural Networks have the same computing power as Turing machines. A Turing machine can be programmed in a proper high-level language - the language of partial recursive functions. In this paper we present the implementation of a compiler that directly translates high-level Turing machine programs to Artificial Recursive Neural Networks. The application contains a simulator that can be used to test the resulting networks. We also argue that experiments like this compiler may give us clues on procedures for automatic synthesis of Artificial Recursive Neural Networks from high-level description

Performance Analysis of One-to-Many Data Transformations

Relational Database Systems often support activities like data warehousing, cleaning and integration. All these activities require performing some sort of data transformations. Since data often resides on relational databases, data transformations are often specified using SQL, which is based of relational algebra. However, many useful data transformations cannot be expressed as SQL queries due to limited expressive power of relational algebra. In particular, an important class of data transformations that produces several output tuples for a single input tuple cannot be expressed in that way. In this report, we analyze alternatives to process one-to-many data transformations using Relational Database Systems, and compare them in terms of expressiveness, optimizability and performanc

Bond Graphs: A Unifying Framework for Modelling of Physical Systems

This chapter introduces a formalism to model the dynamic behaviour of physical systems known as bond graphs. A important property of this formalism is that systems from different domains (cf. electrical, mechanical, hydraulical, acoustical, thermodynamical, material) are described in the same way an integrated under the unifying concept of energy exchange. Bond graph models are directed graphs where parts are interconnected by bonds, along which exchange of energy occurs. We present a method to systematically build a bond graph starting from an ideal physical model and present methods to perform the causal analysis of bond graphs and procedures to generate equations to enable simulation