Fuzzy Support Vector Machine Last updated on 2017/2560 1 12, a full moon day;
1st to understand 4 sufficiency 4 deficiency conditions in plane of existence [Buddha\Book\Abhidhamma in Daily Life; 7.2.12, Pg. 71, Chapter 7]; Higher Planes & Lower Planes, also see: ; 4 planets prediction; Existence of hyper plane and hyperspace [also see: Orbit];
2nd to understand 24 mm natural time in no moon day and full moon day; also see: time;
3rd to understand computing {set} and computing fuzzy set {...... [Also see: distribution for simulation]
Therefore,
Fuzzy set { ... for hyperspace1 : WATER , Human_Beings_Line
Fuzzy set { ... for hyperspace2 : NO WATER , The_Sun_Line
Fuzzy set { ... for hyperspace3 : NO WATER , Humanoid_Line
4th to understand a Myanmar's imaginary dimensional hyperspace craft becomes in vector ... ;
5th to understand the book's mathematical classification i.e.
4 planets are classified into hyper_plane_1, and hyper_plane_2 Also read: Prof. Kaku's Parallel World
The 1st crack of our universe as a tangent line therefore named as The_Sun_Line, and notice that the gap [very thin layer to survive as human beings] therefore named as Human_Beings_Line, and the space line therefore named as Humanoid_Line;
At this present in ACT2 stage, 3 lines are The_Sun_Line, Human_Beings_Line, and Humanoid_Line;
At this present in ACT2 stage, 2 hyper planes are hyper_plane_1, and hyper_plane_2, and each hyper_plane has yinyang Shinto effect of 2 planets synchronizing each other for very very long period of time already ... ;
According to Buddha's dhamma, a middle path way should be kept, therefore the following image [a combination of hyper plane 1 AND 2 ] is in neither no moon day nor full moon day;
hyperplane2 

For hyperplane1, WHERE The_Sun_Line, just before noisy dB, as a daily routine crack to ice, the 1st crack WHICH breaks symmetries, ... along with Human_Beings_Line, water, ... along with Humanoid_Line in space; For each hyper plane, also see: pairs of sticks ... ;
Human_Beings_Line : Kf() + b = 1
The_Sun_Line : Kf() + b = 0
Humanoid_Line : Kf() + b = 1
K kernel mapping function f prompts fuzzy parameters K and b to determine position of 4 planets prediction;
Linear data as: Δ_{i0} is equal to (_{i1}  _{01}, ... , _{in}  _{0n}) determines
f(Δ_{i0}) is equal to (f_{1}(Δ_{i0}), ... , f_{N}(Δ_{i0}))
Distance between lines are 1/K
1/K is equal to ( _{i=1} Σ ^{N} _{i}k^{2})^{1/2} for parameterized K values of K is equal to (k_{1}, k_{2}, k_{3}, ... , k_{N})
K_{min} value satisfies quadratic programming i.e.
Min <K, K> _{i } ( < Kf(_{i}) > + b ) bigger than or equal to 1, WHERE i is equal to 1, 2, 3, ... , counter's constraint integer number, therefore inner product is <.,.> AND _{i } corresponds to linear_entity_label _{i0}
For a Myanmar's imaginary dimensional hyperspace craft, its physical kinetic potential can be constructed by Lagrangian function to find K and b, therefore
Lagrangian (K, b, ACT1) is equal to 1/2 < K , K>  _{i=1}Σ^{yinyang} ACT1_{i} [ _{i } ( < K, f(_{i}) > + b )  1] WHERE ACT1_{i} is bigger than or equal to zero
Therefore saddle point condition by KuhnTucker satisfies
Lagrangian (K*, b*, ACT1) less than or equal to Lagrangian (K*, b*, ACT1*) less than or equal to Lagrangian (K, b, ACT1*)
Optional solution h* is equal to (K*, b*), therefore a middle path (K*, b*, ACT1*) by dhamma prompts that
MIN value of Lagrangian respects to K and b AND
MAX value of Lagrangian respects to ACT1
IFF d Lagrangian / d K is equal to d Lagrangian / d b is equal to zero, and then
K* is equal to _{i=1}Σ^{counter's constraint integer number }ACT1_{i}* _{i } f(_{i}) AND
_{ i=1}Σ^{counter's constraint integer number }ACT1_{i}* _{i } is equal to zero
By substituting, by solving quadratic programming,
values of ACT1* can be return {TRUE}
By using support vectors, by KarushKuhnTucker, b* vectors in hyperplanes can be solved
Therefore, inner product optimized form i.e.
_{ i=1}Σ^{counter's constraint integer number }ACT1_{i}* _{i } < f(_{i}) , f() > + b* is equal to zero
Therefore, IFF kernel function (_{i} , _{j}) is equal to < f(_{i}) , f() > Also read: Prof. Kaku's Parallel World
kernel function optimized form i.e.
_{ i=1}Σ^{counter's constraint integer number }ACT1_{i}* _{i } kernel function (_{i} , _{j}) + b* is equal to zero
Therefore, classifier general form i.e.
Class() is equal to sgn(_{i=1}Σ^{counter's constraint integer number } ACT1_{i}* _{i } kernel function (_{i} , _{j}) + b* )
WHERE in ACT2 stage other 3 gravitational planets, before parallel time, before 3in1 dimensional hyperspace synchronization, before time risks in very very far away out of our universe, ...
sgn () = {  1 > zero 
0 is equal to zero  
1 < zero 
Also read: 4.4.4 SVM; pg. 154 ~ 157; Foundations of Soft CaseBased Reasoning; Sankar Pal & Simon Shiu; Wiley Series on Intelligent Systems; 2004;
After 4 planets prediction, and ACT1 ACT2 stages, assuming dimensional hyperspace craft has gone very very very far away from our universe [4 planets prediction], and 5 sections horizontal gray scaled images prompts that in ACT 3 stage, further 2, 1, 0, 1, 2 kernel function can be developed for Fuzzy SVM ... , according to Buddha Dhamma, there will be uncountable universes ... ., therefore do good khamma, good results will ... .
For Monbusho level ACT2 stage dimensional hyperspace simulation developers only: develop higher fuzziness level such as 2, 1, 0, 1, 2 kernel function for each Lagrangian point by using fuzzy set { ... with distribution AND gravitational machine's mass equilibrium.
Develop FuzzySet [2,2] [3,3,3] ... ; Also see: Fuzzy; Fuzzy [2,2] [3,3,3];
IFF laser gun, also see: hyperplane1's triangulate distance;
...