English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

This article consists of an elementary eight neuron network that uses Hebbian Learning to train a robot to respond intelligently to input light stimuli. In order to reach our end goal, a three-neuron neural networks in C and thoroughly testing it with LEDs and hyperterm are programmed firstly. Then extend this to a four-neuron network and finally to an eight-neuron network, with thorough testing at each level of complexity. The hardware interface is added. This involved integration of stepper motor control code into our neural network such that the stepper motors would step when the 'motor' neurons fired.

Neuron network training system for Robot responding intelligently to input light stimuli (notice of removal)