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Machine learning and cybernetics play an important role in many modern electronic, computer and communications systems. Automated processing of information by these systems requires intelligent analysis of various types of data and optimal decision making. In recent years, we have witnessed a rapid expansion of research and development activities in machine learning and cybernetics. To provide opportunities for researchers in these areas to share their ideas and foster collaborations, the International Conference on Machines and Cybernetics (ICMLC) has been held annually since 2002. The...

Improved efficiency and effectiveness in the construction industry provide huge potential savings. Various forms of relational contracting such as partnering, alliancing, public private partnership (PPP), and joint venture are good examples of this.

Relational Contracting for Construction Excellence presents the principles of relational contracting, practicalities and a series of short case studies. Principles begins with the fundamentals then covers development in major countries, definitions of relational contracting, their benefits, difficulties, critical success factors...

Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks are caused by machine imprecision, and they can be simulated by embedding disturbances in the original inputs or connection weights, allowing us to study the characteristics of a function under small perturbations of its parameters.

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