NDLTD Global ETD Search
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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Search results

Showing 71 to 80 of 149 (0.026 seconds)

Spelling suggestions: "subject:"bionics."" "subject:"ionics.""

71

Statistical mechanical studies of autoassociative and feedforward neural networks

O'Kane, Dominic January 1993 (has links)
No description available.
003.5
Bionics
72

Computer vision as an aid for the visually impaired

Molton, Nicholas David January 1998 (has links)
No description available.
003.5
Bionics
73

Mechanics of the ligament deficient knee

Imran, Ahmed January 1998 (has links)
No description available.
003.5
Bionics
74

Optimisation in neural networks

Wendemuth, Andreas January 1994 (has links)
No description available.
003.5
Bionics
75

Statistical mechanics of neural networks

Rau, Albrecht January 1992 (has links)
No description available.
003.5
Bionics
76

Multi-layer neural networks and their implementation in analogue VLSI

Tombs, Jonathan Noel January 1992 (has links)
No description available.
003.5
Bionics
77

Applications of neural networks to control systems

Ruano, Antonio Eduardo de Barras January 1992 (has links)
No description available.
003.5
Bionics
78

Investigation of a generalised version of Amari's continuous model for neural networks

Roque, Antonio Carlos January 1992 (has links)
No description available.
003.5
Bionics
79

Reinforcement learning in intelligent control : a biologically-inspired approach to the relearning problem

D'Cruz, Brendan January 1998 (has links)
The increasingly complex demands placed on control systems have resulted in a need for intelligent control, an approach that attempts to meet these demands by emulating the capabilities found in biological systems. The need to exploit existing knowledge is a desirable feature of any intelligent control system, and this leads to the relearning problem. The problem arises when a control system is required to effectively learn new knowledge whilst exploiting still useful knowledge from past experiences. This thesis describes the adaptive critic system using reinforcement learning, a computational framework that can effectively address many of the demands in intelligent control, but is less effective when it comes to addressing the relearning problem. The thesis argues that biological mechanisms of reinforcement learning (and relearning) may provide inspiration for developing artificial intelligent control mechanisms that can better address the relearning problem. A conceptual model of biological reinforcement learning and relearning is presented, and the thesis shows how inspiration derived from this model can be used to modify the adaptive critic. The performance of the modified adaptive critic system on the relearning problem is investigated based on simulations of the pole balancing problem, and this is compared to the performance of the original adaptive critic system. The thesis presents an analysis of the results from these simulations, and discusses the significance of these results in terms of addressing the relearning problem.
003.5
Bionics
80

Computer processors which behave like unicellular organisms : a thesis in artificial life

Davidge, Robert James January 1994 (has links)
No description available.
003.5
Bionics

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