I have found this journal to be of outstanding quality. One way to cope with the exponential increase in the number of articles published in recent years is to ignore most of them. This is especially useful in an inter-disciplinary, evolving field such as neural networks. This journal aims to bring the second view-point to bear. Devoted to the science and technology of neural networks which disclose significant technical knowledge, exploratory developments and applications of neural networks from biology to software to hardware.
Emphasis is on artificial neural networks.
Specific aspects include self organizing systems, neurobiological connections, network dynamics and architecture, speech recognition, electronic and photonic implementation, robotics and controls. Includes Letters concerning new research results. The IEEE Transactions on Evolutionary Computation will publish archival journal quality original papers in evolutionary computation and related areas, with particular emphasis on the practical application of the techniques to solving real problems in industry, medicine, and other disciplines. Specific techniques include but are not limited to evolution strategies, evolutionary programming, genetic algorithms, and associated methods of genetic programming and classifier systems. Papers emphasizing mathematical results should ideally seek to put these results in the context of algorithm design, however purely theoretical papers will be considered.