Each connection, like the synapses in a biological brain, can transmit a signal to other neurons. Īn ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. In doing so it is hoped that this paper will provide the initial questions and ideas that will generate a basis upon which further research and development of the core ideas of sustainability and subnatures will be carried out, in order to culminate into the creation of architecture that takes into account the entirety of nature as well as the human needs and aspirations.Artificial neural networks ( ANNs, also shortened to neural networks (NNs) or neural nets) are a branch of machine learning models that are built using principles of neuronal organization discovered by connectionism in the biological neural networks constituting animal brains. Thus in this paper I attempt to analyze the trends and shifts in the relationship of man and nature from Renaissance up to Modernity, evaluate the current definition of sustainability and its application in 1st, 2nd and 3rd world countries, introduce the relatively new concept of subnatures and finally superimpose the ideas of subnature with the ideology of sustainability. It is argued that since sustainable architecture is only dealing with certain aspects of nature, deemed desirable by people, it cannot claim that it is a true ecological solution due to the fact that it leaves many of nature’s so called “undesirable” manifestations untreated and unprovided for. The main argument of this paper is that the sustainable architecture movement which is also referred to as green architecture in this thesis, is not delivering what it promised.
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