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NeurEco User Manual
Contents
Getting Started
Installation
Choosing a Solution
Your First Model
Best Practices
Solutions Guide
Tabular Solution
Data Preparation
Building Models
Building Regression
Building Classification
Building Compression
Evaluating Models
Exporting Models
Advanced Features
Model Conversion
Examples
Energy Consumption
Cancer RNA Classification
Heaviside Compression
Dynamic Solution
Data Preparation
ODE Template
Building ODE Models
Evaluating ODE Models
Convolutional Dynamic Template
Building Convolutional Dynamic Models
Evaluating Convolutional Dynamic Models
Exporting Dynamic Models
Advanced Features
Examples
Nonlinear Oscillator
Mechanical TestBed
Parametric Frequency Sweep (PFS)
PFS Complete Workflow
Examples
Frequency Selective Surface
Reference
Python API Overview
Tabular API Reference
Dynamic API Reference
PFS API Reference
Exceptions Reference
CLI Reference
Resources
NeurEco 5.0 Release Notes
Licensing
GPU Setup
CPU Performance and Reproducibility
Troubleshooting
Frequently Asked Questions
Glossary
Index
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
N
|
O
|
P
|
R
|
S
|
T
|
V
|
W
B
Build
C
Checkpoint
Classifier
Complex output
Compressor
Compute capability
Convolutional Dynamic
ConvolutiveDynamic
D
Denominator size
Dynamic solution
E
ECNN
EDNN
EFNN
Embed license
Enrichment
ERNN
Evaluate
Excitation
Export
F
FMU
G
Gradient
H
Hidden state
I
Initialization
L
L2 relative error
N
Neuron
Normalization
O
ODE
ONNX
Output
P
PFS
R
Rational function
Regressor
S
Sensitivity
Solution
Steady state
T
Tabular solution
Template
Trajectory
V
Validation data
VBA
W
Window size