Research Article

Evaluation and Analysis of an Industrial Cluster Based on the BP Neural Network and LM Algorithm

Table 1

Selection of indicators.

IndicatorsSubindexVariable

Cluster sizeTotal number of enterprises (units)X1
Average number of employees (persons)X2
Total assets (100 million yuan)X3
Main business income (100 million yuan)X4
Total profit (100 million yuan)X5
Cluster benefitProfits and taxes (100 million yuan)X6
Exit value (100 million yuan)X7
Number of R&B enterprises (number)X8
R&D member (person)X9
Full-time equivalent of R&D members (person-years)X10
New product development projects (pieces)X11
Technological innovation abilityExpenditure on new product development (10,000 yuan)X12
Sales revenue of new products (10,000 yuan)X13
Patent application (piece)X14
Valid patent (piece)X15
Technical transformation funds (10,000 yuan)X16
Enterprises with R&D institutions (units)X17
Hair and hair institutions (units)X18
Supporting mechanismR&D personnel (person)X19
Expenditure of R&D institutions (10,000 yuan)X20
Construction projects (pieces)X21
Newly started projects (pieces)X22
Completed and put into operation projects (pieces)X23
Project completion and production rate (%)X24
Investment amount (100 million yuan)X25
New fixed assets (100 million yuan)X26
Delivery utilization rate of the same assets (%)X27