Ideas, fledglings of properties with the potential to expand into networks.

Wolfram, computable document format and what brought into my mind ..

.. what attracted 'me' .. on the cdf .. the computable document format .. Wolfram ..initiative .. and their ..network ..work .. and into what it developed .. this search ..of 'mine' ..

the search .. that goes into acquiring the 'right' expressions .. for the ..'my' ..ideas that keep popping up .. expressions that I need .. in order to give shape ..the oncoming ideas .. dress them up .. with words .. conceptualise the ideas .. into manageable, for my mind concepts .. the culmination of ..attractors' activity and action ..

the ideas .. spawning of .. grappled concepts properties .. seeds ..of properties .. new 'paths' of my brain's neural circuitry .. reverberated cell assemblies .. a new synapse .. the initialization of a neural network .. initialized ..neural network a result of ..bridging .. unabridged, already existing neural networks .. into a ..practically .. and virtually ..new network ..

the new word ..the missed link .. the newly-found expression .. developing into a bridge that connects .. enables the flow of information .. between the previously ..separated networks ..from the virtually near to even disparate regions of my brain's ..neural space

practically ..as already held ..knowledge .. is constantly re-arranged .. from .. slight to larger modifications .. a gradient-like increase .. to accommodate ..newly arrived knowledge ..

towards a full-fledged ..overall ..over-surpassing ..ever-including .. and inclusive ... super- .. or hyper- .. network


Syllabus
This basic course is organized into five segments.
Introduction:
Overview of neural network history and types of problems: function approximation, classification, data clustering, time series, and dynamic systems
Feedforward Neural Networks and Radial Basis Function
Learning, overlearning, and initialization of neural networks
Theory and Background of Neural Networks
Description of the inherited problems when functions are fitted to data, possibilities for handling these problems using neural networks, and practical aspects
Nonlinear Dynamic Black-Box Modeling
Modeling of time series and dynamic systems using linear and nonlinear models
Classification and Clustering with Neural Networks
Two classes, many classes, neural network classifiers and relations to other classifiers, the perceptron as classifier, nearest-neighbor classification, vector quantization, unsupervised methods, self-organizing maps, and the Hopfield network

Impossible futures

In Smith, R. D. (1998) 'Social Structures and Chaos Theory', ..

"5.9
The second kind of pattern which can be studied is defined by the architecture of the lattice itself: the pattern of connections among the various elements of the lattice and through which the signals propagate. This is known as the architecture, the matrix, or the lattice. The lattice places, for practical purposes, limits on what flux patterns are possible. The architecture allows us to differentiate plausible futures from implausible futures and, perhaps, from impossible futures."

The transition from level-to-level

In Smith, R. D. (1998) 'Social Structures and Chaos Theory', ..

the clue, or indication, or proof, or evidence ..

"5.7
Connectionism arose in the field of computer science as a way of deal with parallel processes. Connectionist systems not only have rich interconnections (as all networks do) but the capacity to carry on more than one operation or set of instructions at a time (ie. in parallel). In connectionist systems the various processes are not only carried out simultaneously but often without reference to one-another. Another feature of connectionist systems is the tendency to regard 'information' not simply as whether a particular bit is on or off, but also as the pattern of network activation. In this second sense information can be understood as the pathway along which a signal flows."

evident ..to the point of beiing ..self-evident .. self-evidence established as a notion of .. being a single pathway .. of paving the route for all thought processes to follow .. irrespective of ..vessel supporting them .. by any individual .. at any time or place

the process by which establishes itself as a single pathway .. a result of attractors being built .. over time .. in a manner according to what is referred to in ..

"5.9
The second kind of pattern which can be studied is defined by the architecture of the lattice itself: the pattern of connections among the various elements of the lattice and through which the signals propagate. This is known as the architecture, the matrix, or the lattice. The lattice places, for practical purposes, limits on what flux patterns are possible. The architecture allows us to differentiate plausible futures from implausible futures and, perhaps, from impossible futures."

"Another feature of connectionist systems is the tendency to regard 'information' not simply as whether a particular bit is on or off, but also as the pattern of network activation."

.. what is regarded as 'information' .. it is not just ..whether a particular bit ..is on or off .. but also .. the pattern of network activation ..

the pattern of network activation .. a network in itself .. with its very own ..particular nodes, entities .. its very own ..bits .. which presents itself ..as a pattern .. even taken as a bit .. by itself .. a bit that is ..on

a bit that is ..on .. its presence established.. being unequivocal .. its ..off .. position .. eliminated .. extricated into the realm of ..the impossible ..does not belong in the ..phase space .. of that process .. not just ..un-charted territory .. but never visited

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if ever .. can it be .. my thoughts ..organised .. self-organised .. without ..a plan .. out of no-where.. un-announced .. the ..'best-fit' approach .. it could be ..or .. the path .. has already being ..woven .. wound .. by attractors being brought into existence ..unobtrusively

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the transition from level-to-level .. equivalent to ..from system to system including ..and ..to systems included .. each system by itself is included .. it is the part of another system .. that lies above .. an upper level .. another step of a scale .. subordinate to(?) .. a super-system(?) .. a higher system(?) .. properties .. that emphasize attributes .. alien(?) to .. the overriding principle ..of a .. 'whole more than the sum of its parts' .. the unique combination ..of all-attributes .. offered .. presented .. available .. by all the parts .. systems as .. 'wholes more than the sum of their parts' .. combinations .. for which clues are given out .. collectively .. by the formulas that create .. Mandelbrot worlds .. all possible combinations

how the whole is organised .. out of its parts ..fractal ..whooole .. well that came without being expected .. but isn't obvious ..that such a whole .. can not be anything but ..fractally organised ..

is it the mind that it is concerned in the above ..assumption

or the mind's ability to emulate ..nature's way of ..processing ..which again it is not anything but .. the self-similarity attribute .. it is coming out .. directly out of the self-similar feature .. of the organised world ..