The phrase "a sum of rules" is correct and usable in written English.
It can be used to describe a collection or aggregation of rules that together form a system or guideline.
Example: "The game operates on a sum of rules that players must follow to ensure fair play."
Alternatives: "a collection of rules" or "an aggregate of rules".
An alternating decision tree algorithm can be defined as a sum of simple rules.
The third layer is also non-adaptive and every node calculates the ratio of a rule's firing strength to the sum of all rules' firing strengths as: begin{aligned} w_{i}^ & = frac{{w_{i} }}{{w_{1} + w_{2} }} i & = 1,2.
Layer-3 (Average nodes): The ith node of this layer calculates the ratio of the ith rules firing strength to the sum of all rules' firing strengths.
The normalization layer is the third layer in which the output of each node is computed by the ratio of the ith rule's firing strength to the sum of all rules' firing strengths as follows overline{{omega_{i} }} = omega_{i} / omega_{i} + cdots + omega_{n} ) (3).
In layer 3, every node N calculates the ratio of the i th rule's firing strength to the total sum of all rules' firing strengths (normalization): {O}_{3, i}={overline{w}}_i=frac{w_i}{{displaystyle {sum}_j{w}_j}}=frac{w_i}{w_1+{w}_2}, i = 1, 2 (5).
Images corresponding to the multi-channel coil are computed using the images of each coil channel and sum-of-squares rule [21, 22].
In the framework of this model, a sum rule on the frequency-dependent permeability is shown to hold.
Each node in this layer calculates normalized firing strength from the ratio of each node's firing strength to the sum of all rules' firing strengths.
Assuming that the utilities (u_{11}, ldots,u_{{1,p_{i} }}) corresponding to the ith objective function are incompatible with one another, the probability of the utilities in conditions of dependence and independence of variables is considered separately and then the total probability and sum of probability rules are used.
Again, a sum-rule-based fusion of ω scores across all iris-code blocks is performed for using both iris images.
On the other hand, if both irises are employed, a sum-rule-based fusion of H D-based scores reveals better biometric performance, compared to the proposed representation.
