Read the equation
A stored weight matrix is changed by an increment ΔW. This equation is bookkeeping common to many learning rules; the content of learning comes from how that increment is computed from data, errors, or objectives. The project family supplies an additive scalar increment rather than a complete learning objective.
Terms & definitions
The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.
How it works
Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.
Assumptions & limits
Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.
Original context
Read the surrounding source passage
## 3.6 Family 5: Learning / Weight Update
```
f₅(x) = x + 0.1 · dx_norm
```
**Equation Type**: Delta rule: W_{t+1} = W_t + ΔW
**Explanation**: Accumulates change signals over time, implementing basic learning through weight adjustment. This family stores learned patterns.
## 3.7 Family 6: Mutual Information
```
f₆(x) = 0.5 · (x + σ(dx_norm))
```
**Equation Type**: Information measure: I(X;Y)Exact original notation
Delta rule: W_{t+1} = W_t + ΔW