The 1990 Houston Economic Summit : support for democracy and development.

"July 1990"--P. 10.

International economic highlights 1990

Recopila los despachos semanales transmitidos, durante 1990, por la Oficina de la CEPAL en Washington a la Sede de CEPAL en Santiago de Chile, clasificados por temas de política económica internacional.

Unauthorized migration : addressing the root causes : hearings before the Commission for the Study of International Migration and Cooperative Economic Development, 1987-1990

Mode of access: Internet.

Unauthorized migration : an economic development response : executive summary : report of the Commission for the Study of International Migration and Cooperative Economic Development.

"July 1990."

Unauthorized migration : addressing the root causes : research addendum, 1987-1990.

Shipping list no.: 90-502-P.

Unauthorized migration : addressing the root causes : research addendum, 1987-1990 : supplement

Mode of access: Internet.

Foreign assistance : international resource flows and development assistance to developing countries : fact sheet for the Honorable Lee H. Hamilton, Chairman Joint Economic Committee, U.S. Congress /

"October 1990"

Falling behind : the growing income gap in America : Democratic staff study of the Joint Economic Committee, Congress of the United States.

Cover title.

Mexican manufactured exports and U.S. transnational corporations /

"March 1990."

The balance of payments of the United States : concepts, data sources, and estimating procedures.

"May 1990."

Neural networks for time-varying data

This paper reviews some basic issues and methods involved in using neural networks to respond in a desired fashion to a temporally-varying environment. Some popular network models and training methods are introduced. A speech recognition example is then used to illustrate the central difficulty of temporal data processing: learning to notice and remember relevant contextual information. Feedforward network methods are applicable to cases where this problem is not severe. The application of these methods are explained and applications are discussed in the areas of pure mathematics, chemical and physical systems, and economic systems. A more powerful but less practical algorithm for temporal problems, the moving targets algorithm, is sketched and discussed. For completeness, a few remarks are made on reinforcement learning.