Some aspects of directly parallel operation of neural networks and their subtle energy

Introduction

There is a need to develop an instrumental mathematical base for new technologies. The task of the work is to create new approaches for this by introducing new concepts and methods. Therefore, our mathematics for new type of neural network is adapted not only to obtain results, but also to directly control actions, which will certainly show its benefits on a fundamentally new type of neural networks with directly parallel calculations, for which it was created. Any action has much greater potential than its result Some aspects of directly parallel operation of neural networks and their subtle energy

We consider â??SprtA= - , vSprtA= , = tW- the corresponding target weight [2,3,8].

The field of the given structure tw is used for the activation of networks. The field can remain in effect until it is executed tw. Here all stages of the structure tw can be executed directly in parallel, in particular, an algorithm for solving the desired problem. We will call this field the operational activation field. This field will be created according to the structure tw.

Method

The structure of the attosecond pulses of light, that a short-pulse laser to generate, or the microwave alternating current is close to

Mathematics, theoretical science and programming are actually concerned with structuring their spaces and the capacities within these spaces. Experimental science and experimental programming are concerned with the contents in real spaces and the capacities in those spaces. Ordinary level programming is a self- theoretical science, self-programming is programming oneself, in particular programming environments, self2 -programming is, in particular, programming the creation of programming environments etc. (oself-self) -science - this is work SmnSprt in activation mode, for example, through the attosecond pulses of light, that a short-pulse laser to generate, or the microwave alternating current; the same applies to practical (experimental) programming with real objects and energies [2,3,8]. Implicitness is a sign of a mathematical cocoon of a mathematical equation (problem). The “form” of implicitness is the mathematical cocoon (structure).

Appendix

Remark H.4. Hypothesis H.2: equations for real processes in a non-trivial form can be used to fully or partially interpret the self-level of the process, replacing the equal signs with identification signs, and solutions to these equations as a manifestation of this level on the level of objectivity and ordinary energies. That is, equations for real processes serve as a definition of the self-level of the process, the definition of self-values (self-characteristics) of the process through the identification sign, i.e., they are defined (expressed) through themselves. In particular, forms (1.1) - (1.4) from [2] can be used as forms of identification. Each such singularity creates its own field, the process, the object etc. Much more effective than science for working with these singularities will be special Dynamic programming, which we are currently working on to create. Identification at the lower levels of a hierarchical dynamic structure of type (****H) will lead to the upper level. Let us denote the upper level of A by , the upper level of P by . Then singularity → is the setting for the transformation of A into P. You can also try to use it for full or partial interpretation of the self-level of chemical reactions, but here there will be a trivial identification and determination of the self-level will be much simpler. For example, a type w ≡ 2w singularity at the top level of the structure of a mathematical simplified model of DNA generates a field for DNA division. A rather complex type of singularity at the upper level of the structure of a simplified mathematical model generates an electromagnetic field through identification in Maxwell’s equations. For example, using of the attosecond pulses of light, that a short-pulse laser to generate, or the microwave alternating current to “turn on” a program operator Q↑|↓R by the corresponding eprogram, where Q is a normal neurons action, and R is activation of SmnSprt with tW g, should give g as a result of execution. A program operator Q↑|↓R acts through the top level of structure type (1.1) [2] for Q to the top level of structure type (1.1) [2] for R. The entrance to the upper level SmnSprt during activation mode (via the attosecond pulses of light, that a short-pulse laser to generate, or microwave with minimum amplitude and maximum frequency) can bring SmnSprt to the edge of objectivity or even beyond it, using the corresponding eprograms with the necessary tW. The base energy environment for SmnSprt will be a microwave with minimum amplitude and maximum frequency or ultraviolet, and when activated, the attosecond pulses of light, that a short-pulse laser to generate will be used.

In principle, changing the singularity of the upper level by at least a sufficiently small amount through the identification structure of Maxwell's equations, S_mnSprt can go beyond objectivity depending on the change. It is important to organize “anchors” for returning to one or another position through the corresponding eprograms. When you begin to identify, you immediately reach the upper level, since the operation of identification is an operation of the upper level. The operator team must initiate (turn on) the desired output to the upper level, and then the included process is executed.

Remark H.5. In any structure, connection, task related to the search for the unknown, it is possible by identification to obtain for the upper level of this unknown a singularity that interprets the upper level corresponding to its real image.

Hypothesis H.3: The upper level is the identification of everything that is there, by definition. The upper level of objectivity (i.e., the boundary of objectivity) is the identification of all objects. Then it is quite possible, through the use of dynamic programming in the required activation (Remark H.3. Hypothesis H.2: equations for real processes in a non-trivial form can be used to fully or partially interpret the self-level of the process, replacing the equal signs with identification signs, and solutions to these equations as a manifestation of this level on the level of objectivity and ordinary energies. That is, equations for real processes serve as a definition of the self-level of the process, the definition of self-values (self-characteristics) of the process through the identification sign, i.e., they are defined (expressed) through themselves. In particular, forms (1.1) - (1.4) from [2] can be used as forms of identification. Each such singularity creates its own field, the process, the object etc. Much more effective than science for working with these singularities will be special Dynamic programming, which we are currently working on to create. Identification at the lower levels of a hierarchical dynamic structure of type (****H) will lead to the upper level. Let us denote the upper level of A by , the upper level of P by . Then the singularity → is a setting for the transformation of A to P through attosecond pulses of light that are generated by a short-pulse laser or ultra-high frequency current with a minimum amplitude and maximum frequency to transfer SmnSprt to the boundary of objectivity. to accomplish the desired task, in particular. for the required transformation, required action, etc. The necessary manifestations of the upper level on the lower ones can be carried out through the appropriate settings in the upper level. It is clear that the upper-level singularity corresponds not only to one object, process, task, etc., but also to a whole class of those corresponding to this singularity. Therefore, in particular, a transition to other elements of this class is possible. Using the work of 2023 Nobel Prize winners in physics Ferenc Kraus and his colleagues Pierre Agostini and Anna Lhuillier, their experimental methods of generating attosecond pulses of light to study the dynamics of electrons in matter, we will attempt to carry out the experimental part of our work as soon as we receive a specially equipped laboratory and funding.

Remark H.8. Even appropriate programming on ordinary computers allows you to create some types of self-energies, subtle energies of the upper level; and S_mnSprt is specifically designed to manipulate a much larger set of upper level of subtle energies through special programming and special scanning.

Remark H.9. Our object world is a manifestation of the space of self-capacities (the space of subtle energies), the space of self-capacities is a manifestation of the space of self-containments etc. The self-capacity is the element of the self-level, but can partially manifest the corresponding parts of its content at lower levels, for example object level, in the corresponding “structures”

Remark H.10. Elementary particles are on the border of objectivity, therefore the uncertainty relation and also the possibility of manipulating them to achieve the desired goals (even unrelated to them), using either: 1) an ultra-short-pulse laser, or 2) a collider by SmnSprt etc.

Appendix

The self-space of a higher level contains many self-energetic fibers, collecting into appropriate sets that can be accessed by the corresponding self-spaces of lower levels. That's right, for example. This assembly point on the human cocoon can carry out this, in particular, access to our self-space with objects.

Remark H.10. In the World, at least, there are the following spaces: the space of self-capacities, which is usually called the energy space, and the space of self- containments, which is usually called spirits. Remark H.11. Subtle energy can manifest itself in the form of: 1) objectivity, 2) ordinary energies, 3) information. Using neural networks of the SmnSprt-type, it is possible to organize a S-Internet, where instead of exchanging information, an exchange of subtle energies will take place.

Acknowledgement

We are grateful to our academic supervisor Scientific director: Volodymyr Pasynkov - PhD of physic-mathematical science, assistant professor of applied mathematics and calculated techniques department of National Metallurgical Academy (Ukraine) for guidance and assistance in writing this article.

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