Research Article
The Bidirectional Optimization of Carbon Fiber Production by Neural Network with a GA-IPSO Hybrid Algorithm
Table 5
Errors of the proposed method, basic PSO-RNN, and conventional RNN.
| Algorithms | MAE | MRE (%) | RMSE | TIC | Time(s) |
| Conventional RNN | | | | | | 1 | 173.1400 | 1876.58 | 341.7052 | 0.9612 | | 2 | 1062.8000 | 1310.66 | 2004.3000 | 0.9391 | | 3 | 151.6600 | 816.09 | 285.3062 | 0.9051 | | 4 | 171.6800 | 264.56 | 285.1956 | 0.7416 | 1.7296 | 5 | 62.6800 | 443.07 | 103.5493 | 0.8054 | | 6 | 34.8800 | 533.97 | 63.3625 | 0.9510 | | Total | 276.1367 | 874.16 | 847.6972 | 0.9285 | |
| Basic PSO-RNN | | | | | | 1 | 1.9652 | 22.73 | 2.2049 | 0.1138 | | 2 | 9.7604 | 11.30 | 10.3417 | 0.0590 | | 3 | 2.5932 | 13.19 | 2.7487 | 0.0690 | | 4 | 8.9433 | 15.27 | 10.2110 | 0.0806 | 0.4065 | 5 | 3.2098 | 20.66 | 3.2757 | 0.1054 | | 6 | 0.4920 | 7.38 | 0.6731 | 0.0544 | | Total | 4.4940 | 15.09 | 6.2559 | 0.0686 | |
| Proposed method | | | | | | 1 | 1.3996 | 14.37 | 1.7597 | 0.1026 | | 2 | 8.2660 | 9.61 | 9.1148 | 0.0518 | | 3 | 2.2693 | 11.04 | 2.5107 | 0.0647 | | 4 | 8.0976 | 13.47 | 9.1473 | 0.0733 | 0.1464 | 5 | 2.9085 | 19.20 | 2.9776 | 0.0944 | | 6 | 0.3260 | 4.94 | 0.4054 | 0.0317 | | Total | 3.8778 | 12.11 | 5.5555 | 0.0612 | |
|
|
Note: 1: viscosity average molecular weight, 2: conversion ratio, 3: solid content, 4: spinning jet drawing ratio, 5: coagulating bath temperature, 6: total drawing ratio.
|