chucko@saturn.ucsc.edu (Chuck Stein) (06/11/88)
The University of California Eighteenth Annual INSTITUTE IN COMPUTER SCIENCE presents courses in: * Scientific Visualization * Fault Tolerant Computing * Parallel Computation * Image Engineering * Data Compression * Machine Learning at Techmart, Santa Clara and on campus in Santa Cruz Following is a course description for: ------------------------------------------------------------------------- Artificial Neural Networks August 1-3 Instructor: BART KOSKO X415 Computer & Information Sciences (2) This course offers a rigorous introduction to the mechanics of artificial neural networks. It is aimed at an interdisciplinary audience with emphasis on engineering and artificial intelligence. Designed as an active process, the course will oblige participants to undertake assignments including written work. Upon completion, attendees will have a working knowledge of several state-of-the-art neural network technologies. Overview : Artificial neural networks are programmable dynamical systems. Their global properties can often be designed to carry out practical information processing--pattern storage, robust recall, fuzzy association, distributed prediction, inductive inference, and combinatorial optimization. Artificial neural networks are especially well suited for realtime pattern recognition and nearest neighbor matching in large databases. Some continuous and diffusion networks can perform global optimization. Some networks can learn complex functional mappings simply by presenting them with input-output pairs. Some fuzzy knowledge networks can represent, propagate, and infer uncertain knowledge in contexts where traditional AI decision- tree graph search cannot be applied. Prerequisite: Background in calculus, matrix algebra, and some probability theory. Schedule Monday: *Associative Memory symbolic vs. subsymbolic processing preattentive and attentive processing global stability bidirectional associative memories (BAM) optical BAMs error-correcting decoding temporal associative memory, avalanches optimal linear associative memory Tuesday: *Global Stability and Unsupervised Learning continuous BAMs and the Cohen-Grossberg Theorem neurocircuits for combinatorial optimization Hebb, differential Hebb, and competitive learning adaptive BAMs Grossberg Theory adaptive resonance theory adaptive vector quantization counter-propagation Wednesday: *Supervised Learning and Fuzzy Knowledge Processing lean-mean-square algorithm backpropagation simulated annealing Geman-Hwang theorem for Brownian diffusions Cauchy vs. Boltzmann machines fuzzy entropy and conditioning fuzzy associative memories (FAMs) fuzzy cognitive maps (FCMs) and learning FCMs Instructor: BART KOSKO, Assistant Professor of Electrical Engineering at the University of Southern California Fee: Credit, $895 (EDP J2478) Dates: Three days, Mon.-Wed., Aug. 1-3, 9 a.m.-5 p.m. Place: Techmart, 5201 Great America Pkwy., Santa Clara ----------------------------------------------------------------------- RESERVATIONS: Enrollment in these courses is limited. If you wish to attend a course and have not pre-registered, please call (408) 429-4535 to insure that space is still available and to reserve a place. DISCOUNTS: Corporate, faculty, IEEE member, and graduate student discounts and fellowships are available. Please call Karin Poklen at (408) 429-4535 for more information. COORDINATOR: Ronald L. Smith, Institute in Computer Science, (408) 429-2386. FOR FURTHER INFORMATION: Please write Institute in Computer Science, University of California Extension, Santa Cruz, CA 95064, or phone Karin Poklen at (408) 429- 4535. You may also enroll by phone by calling (408) 429-4535. A packet of information on transportation and accommodations will be sent to you upon receipt of your enrollment.